大家好
使用stargazer做比較模型表格時，在程式內看表格很正常，可以清楚看出4個模型的比較
但knit成pdf後的表格(如下圖)，4個模型的間距蠻大的所以有換行，導致閱讀不便
不知道有沒有辦法調整?
以下是code和資料
title: "Statistical Methods in Finance"
geometry: margin=1.18in
documentclass: ctexart
output:
bookdown::pdf_book:
number_sections: yes
pandoc_args: --listings
toc: yes
fig_crop: no
base_format: rmarkdown::pdf_document
latex_engine: xelatex
citation_package: natbib
dev: "cairo_pdf"
template: null
extra_dependencies:
sourcecodepro:
- scale=0.85
sourceserifpro:
- rmdefault
sourcesanspro:
- sfdefault
awesomebox:
quote_footer: ["\\hspace*{\\fill} ", ""]
geometry:
- top=30mm
- left=20mm
includes:
in_header: header.tex
biblio-style: plainnat #apalike
natbiboptions: "authoryear,round"
link-citations: yes
colorlinks: yes
classoption: "UTF8,a4paper,fontset=adobe,zihao=false"
{r global_options, include = FALSE}
knitr::opts_chunk$set(
fig.width = 7,
fig.height = 6,
echo = TRUE,
warning = FALSE,
message = FALSE
)
tidy = TRUE
tidy.opts = list(keep.blank.line = FALSE, width.cutoff = 100)
options(width = 60)
cex.val = 1 # 加在plot裡面的文字大小
warnings('off')
require(dplyr)
require(tidyverse)
require(magrittr)
require(readr)
require(plm)
require(ggplot2)
require(stargazer)
data <- read.csv("C:\\Users\\Yoga\\Desktop\\dairy.csv"
, header = T)[, c('FARM', 'YEAR', 'MILK', 'COWS', 'LAND' ,'LABOR', 'FEED')]
pdata=pdata.frame(data,index = c('FARM','YEAR'))
pool=log(MILK) ~ COWS + LAND + LABOR + FEED
poolmodel<-plm(pool, data=pdata, model='pooling')
indmodel<-plm(pool, model='within', effect='individual',data = pdata)
timemodel<-plm(pool, model='within', effect='time',data = pdata)
bothmodel<-plm(pool, model='within', effect='twoways',data = pdata)
stargazer(poolmodel,indmodel,timemodel,bothmodel,type='text',
column.labels = c("Pooled OLS","FE-individual","FE-time","FE-two-ways"))
> sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=Chinese (Traditional)_Taiwan.950 LC_CTYPE=Chinese (Traditional)_Taiwan.950
[3] LC_MONETARY=Chinese (Traditional)_Taiwan.950 LC_NUMERIC=C
[5] LC_TIME=Chinese (Traditional)_Taiwan.950
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] stargazer_5.2.2 plm_2.2-5 magrittr_2.0.1 forcats_0.5.0 stringr_1.4.0 purrr_0.3.4
[7] readr_1.4.0 tidyr_1.1.2 tibble_3.0.4 ggplot2_3.3.2 tidyverse_1.3.0 dplyr_1.0.2
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 bdsmatrix_1.3-4 lubridate_1.7.9.2 lattice_0.20-41 ps_1.5.0 zoo_1.8-8
[7] assertthat_0.2.1 digest_0.6.27 lmtest_0.9-38 R6_2.5.0 cellranger_1.1.0 backports_1.2.0
[13] reprex_0.3.0 evaluate_0.14 httr_1.4.2 pillar_1.4.7 Rdpack_2.1 miscTools_0.6-26
[19] rlang_0.4.9 readxl_1.3.1 rstudioapi_0.13 callr_3.5.1 whisker_0.4 Matrix_1.2-18
[25] rmarkdown_2.5 labeling_0.4.2 splines_4.0.3 munsell_0.5.0 broom_0.7.2 compiler_4.0.3
[31] modelr_0.1.8 xfun_0.19 pkgconfig_2.0.3 clipr_0.7.1 mgcv_1.8-33 maxLik_1.4-6
[37] htmltools_0.5.0 tidyselect_1.1.0 fansi_0.4.1 crayon_1.3.4 dbplyr_2.0.0 withr_2.3.0
[43] MASS_7.3-53 rbibutils_2.0 grid_4.0.3 nlme_3.1-149 jsonlite_1.7.1 gtable_0.3.0
[49] lifecycle_0.2.0 DBI_1.1.0 scales_1.1.1 cli_2.2.0 stringi_1.5.3 farver_2.0.3
[55] fs_1.5.0 xml2_1.3.2 ellipsis_0.3.1 generics_0.1.0 vctrs_0.3.5 sandwich_3.0-0
[61] Formula_1.2-4 tools_4.0.3 glue_1.4.2 hms_0.5.3 processx_3.4.5 yaml_2.2.1
[67] colorspace_2.0-0 gbRd_0.4-11 rvest_0.3.6 knitr_1.30 haven_2.3.1
使用reprex()時出現error，所以改提供資料連結，還請大家見諒
資料链接：https://pan.baidu.com/s/1ccF2xEVgRRKojIHbdKwNLA
提取码：r6f6
