modelsummary(models, output = "latex") modelsummary(models, output = "markdown") 如果要使用gt、kableExtra、flextable或huxtable等外部工具自定义表格的外观,可以键入: modelsummary(models, output = "gt") modelsummary(models, output = "kableExtra") modelsummary(models, output = "flextable") modelsu...
--- title: "Regression Tables with gtsummary" output: word_document --- ```{r setup, include=FALSE} knitr::opts_chunk$set(echo = TRUE) ``` ## Data ```{r} set.seed(324524) logistic_s <- data.frame(N=rbinom(200,1,0.5), G=rbinom(200,1,0.5), G_1=rbinom(200,1,0.5), L_...
stargazer:beautiful LATEX, HTML and ASCII tables from R statistical output Package ‘stargazer’ 部分教育资源也是不错的入门指南和实例指引, Using the Stargazer package in R Using stargazer to report regression output and descriptive statistics in R stargazer函数的输出类型 stargazer()有三种输出格式,分别...
The response variable is DAV (0 not diagnosed, 1 diagnosed), and it is recorded in the first column of the data. The data are stored in the file final.dat and is available from the course web site. Perform a multiple logistic regression analysis of this data using SAS or any other sta...
The response variable is DAV (0 not diagnosed, 1 diagnosed), and it is recorded in the first column of the data. The data are stored in the file final.dat and is available from the course web site. Perform a multiple logistic regression analysis of this data using SAS or any other sta...
R语言随机森林RandomForest、逻辑回归Logisitc预测心脏病数据和可视化分析 R语言基于Bagging分类的逻辑回归(Logistic Regression)、决策树、森林分析心脏病患者 R语言用主成分PCA、 逻辑回归、决策树、随机森林分析心脏病数据并高维可视化
regranul regression based stat regression ue s regression of consump regression-type analy regressive model of l regressor variable regretless love regroup tebm regsnap regulamento tÉcnico m regular automatic upd regular beige leather regular borel measure regular chinese mba regular earnings regular ...
好了以下以MASS package里面的Boston数据为例(https://stat.ethz.ch/R-manual/R-devel/library/MASS/html/Boston.html),介绍下这个包的运用。依然是新建rmd文件,heading 参见前前一篇。我们这回实施HTML输出。 --- title: "stargazer" output: html_document ...
R语言随机森林RandomForest、逻辑回归Logisitc预测心脏病数据和可视化分析 R语言基于Bagging分类的逻辑回归(Logistic Regression)、决策树、森林分析心脏病患者 R语言用主成分PCA、 逻辑回归、决策树、随机森林分析心脏病数据并高维可视化
#anovatable vcov(linqol) #covariancematrixformodelparameters influence(linqol) #regressiondiagnostics √ 输入3: install .packages (" lm .beta ") library ( lm .beta ) stlm < - lm .beta ( linqol ) summary ( stlm ) √ 结果3: c...