2020-01-28 » Fisher's exact test in R: independence test for a small sample 2020-01-29 » Do my data follow a normal distribution? A note on the most widely used distribution and how to test for normality in R 2020-01-31 » An efficient way to install and load R packages ...
frame(u.stats), file = paste("Output/Unit_roots.xlsx", sep = ""), overwrite = T, rowNames = T) ``` Loop of the summary statistics: ```{r} for(i in 1:nseries){ x <- data2[,i] x <- ts(x, start=c(2002,1), end = c(2020,1), frequency=12) stat.x <- as.data....
2R packages library(labelled) # labeling data library(rstatix) # summary statistics library(ggpubr) # convenient summary statistics and plots library(GGally) # advanced plot library(car) # useful for anova/wald test library(Epi) # easy getting CI for model coef/pred library(lme4) # linear...
22.2 用 R 和 Markdown 创建动态报告 步骤一:安装软件;1、安装 rmarkdown 包( install.packages(“rmarkdown”) );2、安装 xtable包( install.packages(“xtable”) );3、安装Pandoc;4、安装LaTeX编译器(如果想生成PDF文档),注意,安装了最新版Rstudio则可跳过第1...
pastecs (for descriptive statistics描述性统计), WRS (for robust tests鲁棒性检验). 第一步,通过执行以下命令来安装这些包: install.packages("compute.es")install.packages("car")install.packages ("ggplot2")install.packages("multcomp")install.packages("pastecs")install.packages("WRS", repos="http://...
library(pastecs) #载入程序包pastecs,该程序包非默认,需要通过install.packages("pastecs")下载安装 stat.desc(ma[3:4],norm=TRUE,p=0.95) 1. 2. 分组计算命令代码如下: stat.desc(ma[1:8,3],norm=TRUE) #weightA stat.desc(ma[9:16,”weight”],norm=TRUE) #weightB ...
The manuscript describes and visualizes datasets from the datasets package in the R statistical software, focusing on descriptive statistics and visualizations that provide insights into the clusterability of these datasets. These publicly available datasets are contained in the R software system, and ...
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# install.packages("ClinReport") # library(devtools) ; install_github("jfrancoiscollin/ClinReport") library(ClinReport) library(officer) library(flextable) # Load data data(datafake) ?report.quanti # Descriptive statistics (Numerical response and 2 explicative variables): ...
# install.packages("ClinReport") # library(devtools) ; install_github("jfrancoiscollin/ClinReport") library(ClinReport) library(officer) library(flextable) # Load data data(datafake) ?report.quanti # Descriptive statistics (Numerical response and 2 explicative variables): ...