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How to generate publication quality tables¶
estimagic helps you generate publication quality html and LaTex tables, given a list of estimation results.
Set up¶
[1]:
import io
import re
from collections import namedtuple
from copy import copy
from copy import deepcopy
import numpy as np
import pandas as pd
import statsmodels.api as sm
from IPython.core.display import HTML
from IPython.core.display import Latex
import estimagic.visualization.estimation_table as et
from estimagic.config import TEST_DIR
[2]:
# Load dataset
df = pd.read_csv(TEST_DIR / "visualization" / "diabetes.csv", index_col=0)
[3]:
df.head()
[3]:
| Age | Sex | BMI | ABP | S1 | S2 | S3 | S4 | S5 | S6 | target | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.038076 | 0.050680 | 0.061696 | 0.021872 | -0.044223 | -0.034821 | -0.043401 | -0.002592 | 0.019908 | -0.017646 | 151.0 |
| 1 | -0.001882 | -0.044642 | -0.051474 | -0.026328 | -0.008449 | -0.019163 | 0.074412 | -0.039493 | -0.068330 | -0.092204 | 75.0 |
| 2 | 0.085299 | 0.050680 | 0.044451 | -0.005671 | -0.045599 | -0.034194 | -0.032356 | -0.002592 | 0.002864 | -0.025930 | 141.0 |
| 3 | -0.089063 | -0.044642 | -0.011595 | -0.036656 | 0.012191 | 0.024991 | -0.036038 | 0.034309 | 0.022692 | -0.009362 | 206.0 |
| 4 | 0.005383 | -0.044642 | -0.036385 | 0.021872 | 0.003935 | 0.015596 | 0.008142 | -0.002592 | -0.031991 | -0.046641 | 135.0 |
[4]:
# Fit regressions
est = sm.OLS(endog=df["target"], exog=sm.add_constant(df[df.columns[0:4]])).fit()
est2 = sm.OLS(endog=df["target"], exog=sm.add_constant(df[df.columns[0:6]])).fit()
The estimation results can be passed as statsmodels regression results, or as a tuple with attributes params (pandas DataFrame), with parameter values, standard errors and/or confidence intervals and p-values, and info (dict) with summary statistics of the model.
[5]:
# Extract `params` and `info`
namedtuplee = namedtuple("namedtuplee", "params info")
est3 = namedtuplee(
params=et._extract_params_from_sm(est),
info={**et._extract_info_from_sm(est)},
)
# Remove redundant information
del est3.info["df_model"]
del est3.info["df_resid"]
The resulting dictionary contains all the information we need:
[6]:
est3[0]
[6]:
| value | pvalue | standard_error | ci_lower | ci_upper | |
|---|---|---|---|---|---|
| const | 152.133484 | 2.048808e-193 | 2.852749 | 146.526671 | 157.740298 |
| Age | 37.241211 | 5.616557e-01 | 64.117433 | -88.775663 | 163.258084 |
| Sex | -106.577520 | 8.695658e-02 | 62.125062 | -228.678572 | 15.523532 |
| BMI | 787.179313 | 5.345260e-29 | 65.424126 | 658.594255 | 915.764371 |
| ABP | 416.673772 | 4.245663e-09 | 69.494666 | 280.088446 | 553.259097 |
[7]:
est3[1]
[7]:
{'rsquared': 0.40026108237713975,
'rsquared_adj': 0.3947714813005003,
'fvalue': 72.912599073987,
'f_pvalue': 2.7007228809503304e-47,
'dependent_variable': 'target',
'resid_std_err': 59.97560860753489,
'n_obs': 442.0}
[8]:
# Make copy of estimation results
est4 = {}
est4["params"] = deepcopy(est3.params)
est4["info"] = deepcopy(est3.info)
est5 = {}
est5["params"] = deepcopy(est3.params)
est5["info"] = deepcopy(est3.info)
Basics¶
Basic features include custom title and custom names for models, columns, index and parameters.
Basic table, without title¶
[9]:
ex_html = et.estimation_table([est, est2, est3, est4, est5], return_type="html")
HTML(ex_html)
[9]:
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[10]:
ex_latex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
left_decimals=4,
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_latex)
[10]:
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {(1)} & {(2)} & {(3)} & {(4)} & {(5)} \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
Basic table, with title¶
[11]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
)
HTML(ex_html)
[11]:
This is a caption
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[12]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
left_decimals=4,
return_type="latex",
render_options={"caption": "This is a caption"},
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[12]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {(1)} & {(2)} & {(3)} & {(4)} & {(5)} \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Column names¶
[13]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
custom_col_names=list("abcde"),
)
HTML(ex_html)
[13]:
This is a caption
| a | b | c | d | e | |
|---|---|---|---|---|---|
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[14]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={"caption": "This is a caption"},
left_decimals=4,
custom_col_names=list("abcde"),
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[14]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {a} & {b} & {c} & {d} & {e} \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Column names can be hidden by passing show_col_names=False:
[15]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
show_col_names=False,
)
HTML(ex_html)
[15]:
This is a caption
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
|---|---|---|---|---|---|
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[16]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={"caption": "This is a caption"},
left_decimals=4,
show_col_names=False,
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[16]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Model names¶
[17]:
custom_mod_names = {"M a": [0], "M b-d": [1, 2, 3], "M e": [4]}
[18]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
custom_model_names=custom_mod_names,
custom_col_names=list("abcde"),
)
HTML(ex_html)
[18]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| a | b | c | d | e | |
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[19]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={"caption": "This is a caption"},
left_decimals=4,
custom_model_names=custom_mod_names,
custom_col_names=list("abcde"),
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[19]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {M a} & \multicolumn{3}{c}{{M b-d}} & {M e} \\
\cmidrule(lr){2-2}
\cmidrule(lr){3-5}
\cmidrule(lr){6-6}
{} & {a} & {b} & {c} & {d} & {e} \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Index name¶
By default, the index name is “index”:
[20]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption", "index_names": True},
custom_model_names=custom_mod_names,
)
HTML(ex_html)
[20]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| index | |||||
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[21]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={"caption": "This is a caption", "index_names": True},
left_decimals=4,
custom_model_names=custom_mod_names,
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[21]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {M a} & \multicolumn{3}{c}{{M b-d}} & {M e} \\
\cmidrule(lr){2-2}
\cmidrule(lr){3-5}
\cmidrule(lr){6-6}
{} & {(1)} & {(2)} & {(3)} & {(4)} & {(5)} \\
index & & & & & \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
This can be customized by passing a different index name to custom_index_names:
[22]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
custom_model_names=custom_mod_names,
)
HTML(ex_html)
[22]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Variables | |||||
| const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[23]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
left_decimals=4,
custom_model_names=custom_mod_names,
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[23]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
{} & {M a} & \multicolumn{3}{c}{{M b-d}} & {M e} \\
\cmidrule(lr){2-2}
\cmidrule(lr){3-5}
\cmidrule(lr){6-6}
{} & {(1)} & {(2)} & {(3)} & {(4)} & {(5)} \\
Variables & & & & & \\
\midrule
const & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Sex & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Parameter names¶
Custom parameter names can be specified by passing a dictionary to custom_param_names:
[24]:
cust_par_names = {"const": "Intercept", "Sex": "Gender"}
[25]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
custom_model_names=custom_mod_names,
custom_param_names=cust_par_names,
)
HTML(ex_html)
[25]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Variables | |||||
| Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[26]:
ex_tex = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="latex",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
left_decimals=4,
custom_model_names=custom_mod_names,
custom_param_names=cust_par_names,
alignment_warning=False,
siunitx_warning=False,
)
Latex(ex_tex)
[26]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
& {M a} & \multicolumn{3}{c}{{M b-d}} & {M e} \\
\cmidrule(lr){2-2}
\cmidrule(lr){3-5}
\cmidrule(lr){6-6}
& {(1)} & {(2)} & {(3)} & {(4)} & {(5)} \\
Variables & & & & & \\
\midrule
Intercept & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) & (64.12) \\
Gender & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & & \\
& & (143.81) & & & \\
S2 & & -169.25$^{ }$ & & & \\
& & (142.74) & & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{5}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Advanced¶
Confidence intervals¶
[27]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
custom_model_names=custom_mod_names,
custom_param_names=cust_par_names,
confidence_intervals=True,
)
HTML(ex_html)
[27]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Variables | |||||
| Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (146.53 ; 157.74) | (146.53 ; 157.74) | (146.53 ; 157.74) | (146.53 ; 157.74) | (146.53 ; 157.74) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (-88.78 ; 163.26) | (-103.86 ; 153.26) | (-88.78 ; 163.26) | (-88.78 ; 163.26) | (-88.78 ; 163.26) | |
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (-228.68 ; 15.52) | (-210.32 ; 44.6) | (-228.68 ; 15.52) | (-228.68 ; 15.52) | (-228.68 ; 15.52) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (658.59 ; 915.76) | (658.28 ; 921.2) | (658.59 ; 915.76) | (658.59 ; 915.76) | (658.59 ; 915.76) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (280.09 ; 553.26) | (258.29 ; 536.87) | (280.09 ; 553.26) | (280.09 ; 553.26) | (280.09 ; 553.26) | |
| S1 | 197.85$^{ }$ | ||||
| (-84.8 ; 480.51) | |||||
| S2 | -169.25$^{ }$ | ||||
| (-449.8 ; 111.3) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[28]:
ex_tex = et.estimation_table(
[est, est2, est3, est4],
return_type="latex",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
left_decimals=4,
custom_model_names=None,
custom_param_names=cust_par_names,
alignment_warning=False,
siunitx_warning=False,
confidence_intervals=True,
)
Latex(ex_tex)
[28]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
& {(1)} & {(2)} & {(3)} & {(4)} \\
Variables & & & & \\
\midrule
Intercept & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& {(146.53\,;\,157.74)} & {(146.53\,;\,157.74)} & {(146.53\,;\,157.74)} & {(146.53\,;\,157.74)} \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& {(-88.78\,;\,163.26)} & {(-103.86\,;\,153.26)} & {(-88.78\,;\,163.26)} & {(-88.78\,;\,163.26)} \\
Gender & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& {(-228.68\,;\,15.52)} & {(-210.32\,;\,44.6)} & {(-228.68\,;\,15.52)} & {(-228.68\,;\,15.52)} \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& {(658.59\,;\,915.76)} & {(658.28\,;\,921.2)} & {(658.59\,;\,915.76)} & {(658.59\,;\,915.76)} \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& {(280.09\,;\,553.26)} & {(258.29\,;\,536.87)} & {(280.09\,;\,553.26)} & {(280.09\,;\,553.26)} \\
S1 & & 197.85$^{ }$ & & \\
& & {(-84.8\,;\,480.51)} & & \\
S2 & & -169.25$^{ }$ & & \\
& & {(-449.8\,;\,111.3)} & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{4}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Passing confidence_intervals=False prints standard errors. To hide both standard errors and confidence intervals you need to pass show_inference=False:
[29]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
custom_index_names=["Variables"],
custom_model_names=custom_mod_names,
custom_param_names=cust_par_names,
show_inference=False,
)
HTML(ex_html)
[29]:
This is a caption
| M a | M b-d | M e | |||
|---|---|---|---|---|---|
| (1) | (2) | (3) | (4) | (5) | |
| Variables | |||||
| Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| S1 | 197.85$^{ }$ | ||||
| S2 | -169.25$^{ }$ | ||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
[30]:
ex_tex = et.estimation_table(
[est, est2, est3, est4],
return_type="latex",
render_options={
"caption": "This is a caption",
},
custom_index_names=["Variables"],
left_decimals=4,
custom_model_names=None,
custom_param_names=cust_par_names,
alignment_warning=False,
siunitx_warning=False,
show_inference=False,
)
Latex(ex_tex)
[30]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
& {(1)} & {(2)} & {(3)} & {(4)} \\
Variables & & & & \\
\midrule
Intercept & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
Gender & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
S1 & & 197.85$^{ }$ & & \\
S2 & & -169.25$^{ }$ & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{4}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
\bottomrule
\end{tabular}
\end{table}
Custom notes¶
[33]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
custom_param_names=cust_par_names,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
)
HTML(ex_html)
[33]:
This is a caption
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| Observations | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | 0.39 | 0.39 |
| Residual Std. Error | 59.98 | 59.98 | 59.98 | 59.98 | 59.98 |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ | 72.91$^{***}$ |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
| This is the first note of some length | |||||
| This is the second note probably of larger length | |||||
[34]:
ex_tex = et.estimation_table(
[est, est2, est3, est4],
return_type="latex",
render_options={
"caption": "This is a caption",
},
left_decimals=4,
custom_model_names=None,
custom_param_names=cust_par_names,
alignment_warning=False,
siunitx_warning=False,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
)
Latex(ex_tex)
[34]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{lS[table-format =4.2]S[table-format =4.2]S[table-format =4.2]S[table-format =4.2]}
\toprule
& {(1)} & {(2)} & {(3)} & {(4)} \\
\midrule
Intercept & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& (2.85) & (2.85) & (2.85) & (2.85) \\
Age & 37.24$^{ }$ & 24.7$^{ }$ & 37.24$^{ }$ & 37.24$^{ }$ \\
& (64.12) & (65.41) & (64.12) & (64.12) \\
Gender & -106.58$^{* }$ & -82.86$^{ }$ & -106.58$^{* }$ & -106.58$^{* }$ \\
& (62.13) & (64.85) & (62.13) & (62.13) \\
BMI & 787.18$^{*** }$ & 789.74$^{*** }$ & 787.18$^{*** }$ & 787.18$^{*** }$ \\
& (65.42) & (66.89) & (65.42) & (65.42) \\
ABP & 416.67$^{*** }$ & 397.58$^{*** }$ & 416.67$^{*** }$ & 416.67$^{*** }$ \\
& (69.49) & (70.87) & (69.49) & (69.49) \\
S1 & & 197.85$^{ }$ & & \\
& & (143.81) & & \\
S2 & & -169.25$^{ }$ & & \\
& & (142.74) & & \\
\midrule
Observations & 442.0 & 442.0 & 442.0 & 442.0 \\
R$^2$ & 0.4 & 0.4 & 0.4 & 0.4 \\
Adj. R$^2$ & 0.39 & 0.39 & 0.39 & 0.39 \\
Residual Std. Error & 59.98 & 59.98 & 59.98 & 59.98 \\
F Statistic & 72.91$^{***}$ & 48.91$^{***}$ & 72.91$^{***}$ & 72.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{4}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
&\multicolumn{4}{r}\textit{This is the first note of some length}\\
&\multicolumn{4}{r}\textit{This is the second note probably of larger length}\\
\bottomrule
\end{tabular}
\end{table}
Custom names for summary statistics¶
[35]:
ex_html = et.estimation_table(
[est, est2, est3, est4, est5],
return_type="html",
render_options={"caption": "This is a caption"},
custom_param_names=cust_par_names,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
stats_dict={"R$^2$": "rsquared", "N. Obs": "n_obs"},
)
HTML(ex_html)
[35]:
This is a caption
| (1) | (2) | (3) | (4) | (5) | |
|---|---|---|---|---|---|
| Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | (2.85) | (2.85) | |
| Age | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | (64.12) | (64.12) | |
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | -106.58$^{* }$ | -106.58$^{* }$ |
| (62.13) | (64.85) | (62.13) | (62.13) | (62.13) | |
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ | 787.18$^{*** }$ |
| (65.42) | (66.89) | (65.42) | (65.42) | (65.42) | |
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ | 416.67$^{*** }$ |
| (69.49) | (70.87) | (69.49) | (69.49) | (69.49) | |
| S1 | 197.85$^{ }$ | ||||
| (143.81) | |||||
| S2 | -169.25$^{ }$ | ||||
| (142.74) | |||||
| R$^2$ | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
| N. Obs | 442.0 | 442.0 | 442.0 | 442.0 | 442.0 |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||||
| This is the first note of some length | |||||
| This is the second note probably of larger length | |||||
MultiIndex¶
Set up¶
[36]:
# Convert `params` DataFrame to MultiIndex
df = et._extract_params_from_sm(est)
df.index = pd.MultiIndex.from_arrays(
np.array([["Intercept", "Slope", "Slope", "Slope", "Slope"], df.index.values])
)
df
[36]:
| value | pvalue | standard_error | ci_lower | ci_upper | ||
|---|---|---|---|---|---|---|
| Intercept | const | 152.133484 | 2.048808e-193 | 2.852749 | 146.526671 | 157.740298 |
| Slope | Age | 37.241211 | 5.616557e-01 | 64.117433 | -88.775663 | 163.258084 |
| Sex | -106.577520 | 8.695658e-02 | 62.125062 | -228.678572 | 15.523532 | |
| BMI | 787.179313 | 5.345260e-29 | 65.424126 | 658.594255 | 915.764371 | |
| ABP | 416.673772 | 4.245663e-09 | 69.494666 | 280.088446 | 553.259097 |
[37]:
# Extract info and generate tuple of estimation results for `est1`
info = et._extract_info_from_sm(est)
est_mi = namedtuplee(params=df, info=info)
[38]:
# Repeat for `est2`
df = et._extract_params_from_sm(est2)
df.index = pd.MultiIndex.from_arrays(
np.array(
[
["Intercept", "Slope", "Slope", "Slope", "Slope", "Else", "Else"],
df.index.values,
]
)
)
info = et._extract_info_from_sm(est2)
est_mi2 = namedtuplee(params=df, info=info)
Basics¶
[39]:
ex_html = et.estimation_table(
[est_mi, est_mi2],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_param_names=cust_par_names,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
)
HTML(ex_html)
[39]:
This is a caption
| (1) | (2) | ||
|---|---|---|---|
| Intercept | Intercept | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | ||
| Slope | Age | 37.24$^{ }$ | 24.7$^{ }$ |
| (64.12) | (65.41) | ||
| Gender | -106.58$^{* }$ | -82.86$^{ }$ | |
| (62.13) | (64.85) | ||
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | |
| (65.42) | (66.89) | ||
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | |
| (69.49) | (70.87) | ||
| Else | S1 | 197.85$^{ }$ | |
| (143.81) | |||
| S2 | -169.25$^{ }$ | ||
| (142.74) | |||
| Observations | 442.0 | 442.0 | |
| R$^2$ | 0.4 | 0.4 | |
| Adj. R$^2$ | 0.39 | 0.39 | |
| Residual Std. Error | 59.98 | 59.98 | |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||
| This is the first note of some length | |||
| This is the second note probably of larger length | |||
[40]:
ex_tex = et.estimation_table(
[est_mi, est_mi2],
return_type="latex",
render_options={
"caption": "This is a caption",
},
left_decimals=3,
custom_model_names=None,
custom_param_names=cust_par_names,
alignment_warning=False,
siunitx_warning=False,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
)
Latex(ex_tex)
[40]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{llS[table-format =3.2]S[table-format =3.2]}
\toprule
& & {(1)} & {(2)} \\
\midrule
Intercept & Intercept & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& & (2.85) & (2.85) \\
Slope & Age & 37.24$^{ }$ & 24.7$^{ }$ \\
& & (64.12) & (65.41) \\
& Gender & -106.58$^{* }$ & -82.86$^{ }$ \\
& & (62.13) & (64.85) \\
& BMI & 787.18$^{*** }$ & 789.74$^{*** }$ \\
& & (65.42) & (66.89) \\
& ABP & 416.67$^{*** }$ & 397.58$^{*** }$ \\
& & (69.49) & (70.87) \\
Else & S1 & & 197.85$^{ }$ \\
& & & (143.81) \\
& S2 & & -169.25$^{ }$ \\
& & & (142.74) \\
\midrule
Observations & {} & 442.0 & 442.0 \\
R$^2$ & {} & 0.4 & 0.4 \\
Adj. R$^2$ & {} & 0.39 & 0.39 \\
Residual Std. Error & {} & 59.98 & 59.98 \\
F Statistic & {} & 72.91$^{***}$ & 48.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{3}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
&&\multicolumn{2}{r}\textit{This is the first note of some length}\\
&&\multicolumn{2}{r}\textit{This is the second note probably of larger length}\\
\bottomrule
\end{tabular}
\end{table}
Parameter names¶
[41]:
ex_html = et.estimation_table(
[est_mi, est_mi2],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
custom_param_names={"Age": "Maturity", "Else": "Additionally"},
)
HTML(ex_html)
[41]:
This is a caption
| (1) | (2) | ||
|---|---|---|---|
| Intercept | const | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | ||
| Slope | Maturity | 37.24$^{ }$ | 24.7$^{ }$ |
| (64.12) | (65.41) | ||
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | |
| (62.13) | (64.85) | ||
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | |
| (65.42) | (66.89) | ||
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | |
| (69.49) | (70.87) | ||
| Additionally | S1 | 197.85$^{ }$ | |
| (143.81) | |||
| S2 | -169.25$^{ }$ | ||
| (142.74) | |||
| Observations | 442.0 | 442.0 | |
| R$^2$ | 0.4 | 0.4 | |
| Adj. R$^2$ | 0.39 | 0.39 | |
| Residual Std. Error | 59.98 | 59.98 | |
| F Statistic | 72.91$^{***}$ | 48.91$^{***}$ | |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | ||
| This is the first note of some length | |||
| This is the second note probably of larger length | |||
[42]:
ex_tex = et.estimation_table(
[est_mi, est_mi2],
return_type="latex",
render_options={
"caption": "This is a caption",
},
left_decimals=3,
custom_model_names=None,
alignment_warning=False,
siunitx_warning=False,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
custom_param_names={"Age": "Maturity", "Else": "Additionally"},
)
Latex(ex_tex)
[42]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{llS[table-format =3.2]S[table-format =3.2]}
\toprule
& & {(1)} & {(2)} \\
\midrule
Intercept & const & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& & (2.85) & (2.85) \\
Slope & Maturity & 37.24$^{ }$ & 24.7$^{ }$ \\
& & (64.12) & (65.41) \\
& Sex & -106.58$^{* }$ & -82.86$^{ }$ \\
& & (62.13) & (64.85) \\
& BMI & 787.18$^{*** }$ & 789.74$^{*** }$ \\
& & (65.42) & (66.89) \\
& ABP & 416.67$^{*** }$ & 397.58$^{*** }$ \\
& & (69.49) & (70.87) \\
Additionally & S1 & & 197.85$^{ }$ \\
& & & (143.81) \\
& S2 & & -169.25$^{ }$ \\
& & & (142.74) \\
\midrule
Observations & {} & 442.0 & 442.0 \\
R$^2$ & {} & 0.4 & 0.4 \\
Adj. R$^2$ & {} & 0.39 & 0.39 \\
Residual Std. Error & {} & 59.98 & 59.98 \\
F Statistic & {} & 72.91$^{***}$ & 48.91$^{***}$ \\
\midrule
\textit{Note:} & \multicolumn{3}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
&&\multicolumn{2}{r}\textit{This is the first note of some length}\\
&&\multicolumn{2}{r}\textit{This is the second note probably of larger length}\\
\bottomrule
\end{tabular}
\end{table}
Index and model names¶
[43]:
stats_dict = {
"Observations": "n_obs",
"R$^2$": "rsquared",
"Adj. R$^2$": "rsquared_adj",
"Residual Std. Error": "resid_std_err",
"F Statistic": "fvalue",
"show_dof": True,
}
[44]:
ex_html = et.estimation_table(
[est_mi, est_mi2, est_mi],
return_type="html",
render_options={
"caption": "This is a caption",
},
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
custom_param_names={"Age": "Maturity", "Else": "Additionally"},
custom_index_names=["Category", "Variable"],
custom_model_names={"M1-2": [0, 1], "M3": [2]},
stats_dict=stats_dict,
)
HTML(ex_html)
[44]:
This is a caption
| M1-2 | M3 | |||
|---|---|---|---|---|
| (1) | (2) | (3) | ||
| Category | Variable | |||
| Intercept | const | 152.13$^{*** }$ | 152.13$^{*** }$ | 152.13$^{*** }$ |
| (2.85) | (2.85) | (2.85) | ||
| Slope | Maturity | 37.24$^{ }$ | 24.7$^{ }$ | 37.24$^{ }$ |
| (64.12) | (65.41) | (64.12) | ||
| Sex | -106.58$^{* }$ | -82.86$^{ }$ | -106.58$^{* }$ | |
| (62.13) | (64.85) | (62.13) | ||
| BMI | 787.18$^{*** }$ | 789.74$^{*** }$ | 787.18$^{*** }$ | |
| (65.42) | (66.89) | (65.42) | ||
| ABP | 416.67$^{*** }$ | 397.58$^{*** }$ | 416.67$^{*** }$ | |
| (69.49) | (70.87) | (69.49) | ||
| Additionally | S1 | 197.85$^{ }$ | ||
| (143.81) | ||||
| S2 | -169.25$^{ }$ | |||
| (142.74) | ||||
| Observations | 442.0 | 442.0 | 442.0 | |
| R$^2$ | 0.4 | 0.4 | 0.4 | |
| Adj. R$^2$ | 0.39 | 0.39 | 0.39 | |
| Residual Std. Error | 59.98(df=437.0) | 59.98(df=435.0) | 59.98(df=437.0) | |
| F Statistic | 72.91$^{***}$(df=4.0;437.0) | 48.91$^{***}$(df=6.0;435.0) | 72.91$^{***}$(df=4.0;437.0) | |
| Note: | ***p<0.01; **p<0.05; *p<0.1 | |||
| This is the first note of some length | ||||
| This is the second note probably of larger length | ||||
[45]:
ex_tex = et.estimation_table(
[est_mi, est_mi2],
return_type="latex",
render_options={
"caption": "This is a caption",
},
left_decimals=4,
alignment_warning=False,
siunitx_warning=False,
custom_notes=[
"This is the first note of some length",
"This is the second note probably of larger length",
],
custom_param_names={"Age": "Maturity", "Else": "Additionally"},
custom_index_names=["Category", "Variable"],
custom_model_names={"M1": [0], "M2": [1]},
stats_dict=stats_dict,
)
Latex(ex_tex)
[45]:
\begin{table}
\centering
\caption{This is a caption}
\begin{tabular}{llS[table-format =4.2]S[table-format =4.2]}
\toprule
& & {M1} & {M2} \\
\cmidrule(lr){3-3}
\cmidrule(lr){4-4}
& & {(1)} & {(2)} \\
Category & Variable & & \\
\midrule
Intercept & const & 152.13$^{*** }$ & 152.13$^{*** }$ \\
& & (2.85) & (2.85) \\
Slope & Maturity & 37.24$^{ }$ & 24.7$^{ }$ \\
& & (64.12) & (65.41) \\
& Sex & -106.58$^{* }$ & -82.86$^{ }$ \\
& & (62.13) & (64.85) \\
& BMI & 787.18$^{*** }$ & 789.74$^{*** }$ \\
& & (65.42) & (66.89) \\
& ABP & 416.67$^{*** }$ & 397.58$^{*** }$ \\
& & (69.49) & (70.87) \\
Additionally & S1 & & 197.85$^{ }$ \\
& & & (143.81) \\
& S2 & & -169.25$^{ }$ \\
& & & (142.74) \\
\midrule
Observations & {} & 442.0 & 442.0 \\
R$^2$ & {} & 0.4 & 0.4 \\
Adj. R$^2$ & {} & 0.39 & 0.39 \\
Residual Std. Error & {} & {59.98(df=437.0)} & {59.98(df=435.0)} \\
F Statistic & {} & {72.91$^{***}$(df=4.0;437.0)} & {48.91$^{***}$(df=6.0;435.0)} \\
\midrule
\textit{Note:} & \multicolumn{3}{r}{$^{***}$p$<$0.01;$^{**}$p$<$0.05;$^{*}$p$<$0.1} \\
&&\multicolumn{2}{r}\textit{This is the first note of some length}\\
&&\multicolumn{2}{r}\textit{This is the second note probably of larger length}\\
\bottomrule
\end{tabular}
\end{table}