I have been navigating around for some time, trying to find the answer to my problem. I have made a few regression in R and want to export them with the stargazer package into LaTeX.
However, because of the number of regression (6), the column do go over to oblivion. I have tried to reduce the intercolumn space, but with no success.
How is it possible to do so so that the table fits onto page page wide (I will delete some variables, as longtable is not compatible with stargazer.
Thanks a lot for your time and help.
Below is the simple export from R
\documentclass{article}
\usepackage{dcolumn}
\begin{document}
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Tue, May 15, 2018 - 11:03:04 AM
% Requires LaTeX packages: dcolumn
\begin{table}[!htbp] \centering
\caption{}
\label{}
\small
\begin{tabular}{@{\extracolsep{1pt}}lD{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} D{.}{.}{-3} }
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{6}{c}{\textit{Dependent variable:}} \\
\cline{2-7}
\\[-1.8ex] & \multicolumn{6}{c}{FN} \\
\\[-1.8ex] & \multicolumn{1}{c}{(1)} & \multicolumn{1}{c}{(2)} & \multicolumn{1}{c}{(3)} & \multicolumn{1}{c}{(4)} & \multicolumn{1}{c}{(5)} & \multicolumn{1}{c}{(6)}\\
\hline \\[-1.8ex]
Immig & -0.397^{***} & 0.209^{***} & 0.246^{***} & 0.161 & 0.701^{***} & -0.255^{***} \\
& (0.010) & (0.047) & (0.066) & (0.101) & (0.147) & (0.088) \\
Ref & 0.350^{***} & 0.397^{***} & 0.290^{***} & 0.255^{***} & 0.533^{***} & 0.238^{***} \\
& (0.004) & (0.006) & (0.007) & (0.009) & (0.033) & (0.010) \\
ImmigRef1 & & -0.011^{***} & -0.007^{***} & -0.004^{**} & -0.019^{***} & 0.003 \\
& & (0.001) & (0.001) & (0.002) & (0.002) & (0.002) \\
CAO & & & -0.900^{**} & -1.784 & 0.266 & -2.772^{***} \\
& & & (0.420) & (1.391) & (0.408) & (0.748) \\
Rur & & & 0.115 & & 0.977 & 0.426^{***} \\
& & & (0.127) & & (4.161) & (0.159) \\
LnInv & & & -2.625^{***} & -2.327^{***} & -6.017^{**} & -1.857^{***} \\
& & & (0.327) & (0.368) & (2.631) & (0.442) \\
LnMed & & & 12.479^{***} & 12.350^{***} & 7.328^{**} & 7.588^{***} \\
& & & (0.600) & (0.709) & (2.860) & (0.899) \\
Cho & & & 0.333^{***} & 0.285^{***} & 0.380^{***} & 0.329^{***} \\
& & & (0.017) & (0.021) & (0.094) & (0.028) \\
Cri & & & 1.737^{***} & 1.683^{***} & 1.244^{***} & 1.432^{***} \\
& & & (0.045) & (0.057) & (0.157) & (0.063) \\
LnPop17 & & & -1.817^{***} & -1.865^{***} & -1.136^{***} & -1.698^{***} \\
& & & (0.071) & (0.097) & (0.302) & (0.097) \\
Age0019 & & & 0.082^{***} & 0.134^{***} & 0.058 & -0.0001 \\
& & & (0.023) & (0.025) & (0.156) & (0.032) \\
Age2029 & & & 0.108^{***} & 0.139^{***} & 0.284^{*} & 0.039 \\
& & & (0.020) & (0.023) & (0.167) & (0.028) \\
Age4564 & & & -0.053^{***} & -0.046^{***} & 0.510^{***} & -0.060^{***} \\
& & & (0.016) & (0.017) & (0.134) & (0.021) \\
Age65 & & & -0.131^{***} & -0.131^{***} & 0.157 & -0.124^{***} \\
& & & (0.016) & (0.018) & (0.117) & (0.023) \\
Educ1 & & & -0.012 & -0.039^{**} & -0.093 & 0.027 \\
& & & (0.014) & (0.017) & (0.098) & (0.022) \\
Educ2 & & & -0.211^{***} & -0.294^{***} & 0.272^{**} & -0.223^{***} \\
& & & (0.017) & (0.020) & (0.126) & (0.025) \\
Educ3 & & & -0.462^{***} & -0.501^{***} & -0.316^{***} & -0.426^{***} \\
& & & (0.012) & (0.014) & (0.078) & (0.016) \\
Agr & & & -0.119^{***} & -0.139^{***} & 0.168 & -0.152^{***} \\
& & & (0.011) & (0.012) & (0.273) & (0.019) \\
Art & & & -0.059^{***} & -0.094^{***} & 0.663^{***} & -0.089^{***} \\
& & & (0.011) & (0.013) & (0.116) & (0.017) \\
Cad & & & -0.047^{***} & -0.047^{***} & -0.014 & -0.028^{*} \\
& & & (0.011) & (0.013) & (0.093) & (0.014) \\
Emp & & & -0.010 & -0.015 & -0.122 & -0.026^{**} \\
& & & (0.009) & (0.010) & (0.082) & (0.013) \\
Ouv & & & -0.022^{***} & -0.026^{***} & 0.055 & -0.015 \\
& & & (0.008) & (0.009) & (0.073) & (0.011) \\
Etu & & & -0.015 & 0.029 & -0.138^{*} & -0.077^{**} \\
& & & (0.022) & (0.027) & (0.082) & (0.030) \\
Retr & & & -0.206^{***} & -0.174^{***} & -0.953^{***} & -0.317^{***} \\
& & & (0.021) & (0.023) & (0.158) & (0.030) \\
Gau & & & -2.238^{***} & -2.452^{***} & -2.032^{***} & -3.128^{***} \\
& & & (0.092) & (0.112) & (0.362) & (0.128) \\
Part & & & -0.084^{***} & -0.099^{***} & -0.039 & -0.135^{***} \\
& & & (0.013) & (0.015) & (0.053) & (0.019) \\
Immig0914 & & & -0.005^{***} & -0.004^{***} & -0.026^{***} & -0.008^{***} \\
& & & (0.001) & (0.001) & (0.006) & (0.001) \\
Age20290914 & & & -0.003^{***} & -0.003^{***} & -0.007 & -0.003^{**} \\
& & & (0.001) & (0.001) & (0.013) & (0.001) \\
Age30440914 & & & -0.005^{**} & -0.003 & 0.050 & -0.007^{*} \\
& & & (0.002) & (0.003) & (0.037) & (0.003) \\
Age45640914 & & & 0.001 & 0.002 & -0.034 & -0.001 \\
& & & (0.002) & (0.003) & (0.032) & (0.004) \\
Age650914 & & & 0.006^{***} & 0.007^{***} & 0.020 & 0.001 \\
& & & (0.001) & (0.001) & (0.013) & (0.001) \\
Educ00914 & & & -0.008 & -0.013^{**} & 0.008 & -0.019^{**} \\
& & & (0.006) & (0.006) & (0.034) & (0.007) \\
Educ10914 & & & 0.023^{***} & 0.015 & 0.100^{*} & 0.003 \\
& & & (0.009) & (0.010) & (0.055) & (0.014) \\
Educ20914 & & & 0.011^{***} & 0.012^{***} & -0.006 & 0.0003 \\
& & & (0.004) & (0.004) & (0.026) & (0.006) \\
Educ30914 & & & 0.019^{***} & 0.016^{***} & 0.008 & 0.003 \\
& & & (0.004) & (0.004) & (0.030) & (0.006) \\
Agr0914 & & & 0.001^{***} & 0.003^{***} & 0.001 & 0.001^{*} \\
& & & (0.0005) & (0.001) & (0.001) & (0.001) \\
Art0914 & & & 0.001 & 0.002^{***} & -0.019^{***} & 0.001^{**} \\
& & & (0.0005) & (0.001) & (0.007) & (0.001) \\
Cad0914 & & & -0.001 & -0.0001 & -0.001 & -0.002^{**} \\
& & & (0.001) & (0.001) & (0.012) & (0.001) \\
PI0914 & & & -0.002^{***} & -0.002^{***} & 0.035 & -0.003^{**} \\
& & & (0.001) & (0.001) & (0.027) & (0.001) \\
Emp0914 & & & -0.002^{**} & -0.003^{**} & 0.078^{***} & 0.001 \\
& & & (0.001) & (0.001) & (0.030) & (0.002) \\
Ouv0914 & & & -0.001 & -0.001 & 0.011 & -0.0001 \\
& & & (0.001) & (0.001) & (0.018) & (0.001) \\
Etu0914 & & & -0.00001^{*} & -0.0003^{**} & -0.00000^{*} & -0.00000 \\
& & & (0.00000) & (0.0002) & (0.00000) & (0.00000) \\
Ret0914 & & & 0.0003 & -0.001 & 0.027^{*} & 0.004^{*} \\
& & & (0.002) & (0.002) & (0.015) & (0.002) \\
Constant & 7.327^{***} & 4.607^{***} & -80.080^{***} & -73.964^{***} & -68.736^{**} & -21.400^{**} \\
& (0.264) & (0.335) & (6.413) & (7.477) & (32.468) & (9.613) \\
\hline \\[-1.8ex]
Observations & \multicolumn{1}{c}{34,901} & \multicolumn{1}{c}{34,901} & \multicolumn{1}{c}{17,398} & \multicolumn{1}{c}{12,484} & \multicolumn{1}{c}{880} & \multicolumn{1}{c}{8,144} \\
R$^{2}$ & \multicolumn{1}{c}{0.189} & \multicolumn{1}{c}{0.193} & \multicolumn{1}{c}{0.558} & \multicolumn{1}{c}{0.509} & \multicolumn{1}{c}{0.805} & \multicolumn{1}{c}{0.596} \\
Adjusted R$^{2}$ & \multicolumn{1}{c}{0.189} & \multicolumn{1}{c}{0.193} & \multicolumn{1}{c}{0.557} & \multicolumn{1}{c}{0.508} & \multicolumn{1}{c}{0.795} & \multicolumn{1}{c}{0.593} \\
Residual Std. Error & \multicolumn{1}{c}{8.201 (df = 34898)} & \multicolumn{1}{c}{8.181 (df = 34897)} & \multicolumn{1}{c}{5.340 (df = 17354)} & \multicolumn{1}{c}{5.528 (df = 12441)} & \multicolumn{1}{c}{3.866 (df = 836)} & \multicolumn{1}{c}{4.982 (df = 8100)} \\
F Statistic & \multicolumn{1}{c}{4,077.335$^{***}$ (df = 2; 34898)} & \multicolumn{1}{c}{2,789.135$^{***}$ (df = 3; 34897)} & \multicolumn{1}{c}{509.447$^{***}$ (df = 43; 17354)} & \multicolumn{1}{c}{307.666$^{***}$ (df = 42; 12441)} & \multicolumn{1}{c}{80.379$^{***}$ (df = 43; 836)} & \multicolumn{1}{c}{277.453$^{***}$ (df = 43; 8100)} \\
\hline
\hline \\[-1.8ex]
\textit{Note:} & \multicolumn{6}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
\end{tabular}
\end{table}
\end{document}
The Code from R:
Data <- read.csv("C:/Users/Julien/Desktop/Data.csv", header=TRUE, sep=",", na.strings=c("#N/A", "#DIV/0!", "#VALUE!", "#NUM!"))
Data$ImmigRef1 <- Data$Immig*Data$Ref
library("sandwich")
library("AER")
library("lmtest")
library(stargazer)
Reg0 <- lm(FN ~ Immig + Ref, data=Data)
Reg1 <- lm(FN ~ Immig + Ref + ImmigRef1, data=Data)
Reg2 <- lm(FN ~ Immig + Ref + ImmigRef1 + CAO + Rur + LnInv + LnMed +
Cho + Cri + LnPop17 + Age0019 + Age2029 + Age4564 + Age65 +
Educ1 + Educ2 + Educ3 + Agr + Art + Cad + Emp + Ouv + Etu +
Retr + Gau + Part, data = Data)
Reg2 <- lm(FN ~ Immig + Ref + ImmigRef1 + CAO + Rur + LnInv + LnMed +
Cho + Cri + LnPop17 + Age0019 + Age2029 + Age4564 + Age65 +
Educ1 + Educ2 + Educ3 + Agr + Art + Cad + Emp + Ouv + Etu +
Retr + Gau + Part + Immig0914 + Age20290914 + Age30440914 +
Age45640914 + Age650914 + Educ00914 + Educ10914 + Educ20914 +
Educ30914 + Agr0914 + Art0914 + Cad0914 + PI0914 + Emp0914 +
Ouv0914 + Etu0914 + Ret0914, data=Data)
Reg3 <- lm(FN ~ Immig + Ref + ImmigRef1 + CAO + Rur + LnInv + LnMed +
Cho + Cri + LnPop17 + Age0019 + Age2029 + Age4564 + Age65 +
Educ1 + Educ2 + Educ3 + Agr + Art + Cad + Emp + Ouv + Etu +
Retr + Gau + Part + Immig0914 + Age20290914 +Age30440914 +
Age45640914 + Age650914 + Educ00914 + Educ10914 + Educ20914 +
Educ30914 + Agr0914 + Art0914 + Cad0914 + PI0914 + Emp0914 +
Ouv0914 + Etu0914 + Ret0914, Rur == 1, data = Data)
Reg4 <- lm(FN ~ Immig + Ref + ImmigRef1 + CAO + Rur + LnInv + LnMed +
Cho + Cri + LnPop17 + Age0019 + Age2029 + Age4564 + Age65 +
Educ1 + Educ2 + Educ3 + Agr + Art + Cad + Emp + Ouv + Etu +
Retr + Gau + Part + Immig0914 + Age20290914 +Age30440914 +
Age45640914 + Age650914 + Educ00914 + Educ10914 + Educ20914 +
Educ30914 + Agr0914 + Art0914 + Cad0914 + PI0914 + Emp0914 +
Ouv0914 + Etu0914 + Ret0914, LnPop17 > 9.07, data = Data)
Reg5 <- lm(FN ~ Immig + Ref + ImmigRef1 + CAO + Rur + LnInv + LnMed +
Cho + Cri + LnPop17 + Age0019 + Age2029 + Age4564 + Age65 +
Educ1 + Educ2 + Educ3 + Agr + Art + Cad + Emp + Ouv + Etu +
Retr + Gau + Part + Immig0914 + Age20290914 +Age30440914 +
Age45640914 + Age650914 + Educ00914 + Educ10914 + Educ20914 +
Educ30914 + Agr0914 + Art0914 + Cad0914 + PI0914 + Emp0914 +
Ouv0914 + Etu0914 + Ret0914, LnMed > 9.910, data = Data)
OLSes <- stargazer(Reg0, Reg1, Reg2, Reg3, Reg4, Reg5,
font.size = "small",
align = TRUE,
no.space = TRUE)
And I will attach the csv file.
Best Answer
The problem lies in printing "Residual Std. Error" and "F Statistic" lines (that you don't see on your pdf output...): very big "numbers" (like
2,789.135 ∗∗∗ (df = 3; 34897)) If you delete them withomit.stat=c("f", "ser"), you can output the results (it is documented in the examples of thestargazerfunction). There is also an optioncolumn.sep.widththat you may use (see the doc)For the length you can also use this recent Q/A: Help with long table from Stargazer
And, a minimal example would be something like:
test.RnwOutput: