Basic Stat Using R 描述性统计函数 myvars <-mtcars[c("mpg","hp","ut","am")] summary(myvars)#对一个数据集进行详细统计 # mpg hp t am ##Min. :10.40 Min. :52.0 Min. :1.513Min. :0.0000 #1stQu.:15.4318t0u.:96.518tQu.:2.581 18tQu.:0.0000 ##Median :19.20 Median 123.0 Median :3.325 Median 0.0000 ##Mean :20.09 Mean:146.7 Mean:3.217 Mean:0.4062 #3rdQu.:22.803rdQu.:180.03rdQu.:3.6103rdQu.:1.0000 #Max.:33.90 Max. :335.0Max. :5.424 Max. :1.0000 fivenum(myvars$hp) #[1]5296123180335 来五个分位数 install.packages("Hmisc") #Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.1' ##(as 'lib'is unspecified) library(Hmisc) #Loading required package:lattice #Loading required package:survival #Loading required package:Formula #Loading required package:ggplot2 #Attaching package:'Hmisc' #The following objects are masked from'package:base': 料样 format.pval,units 1Basic Stat Using R 描述性统计函数 myvars <- mtcars[c("mpg","hp","wt","am")] summary(myvars) # 对一个数据集进行详细统计 ## mpg hp wt am ## Min. :10.40 Min. : 52.0 Min. :1.513 Min. :0.0000 ## 1st Qu.:15.43 1st Qu.: 96.5 1st Qu.:2.581 1st Qu.:0.0000 ## Median :19.20 Median :123.0 Median :3.325 Median :0.0000 ## Mean :20.09 Mean :146.7 Mean :3.217 Mean :0.4062 ## 3rd Qu.:22.80 3rd Qu.:180.0 3rd Qu.:3.610 3rd Qu.:1.0000 ## Max. :33.90 Max. :335.0 Max. :5.424 Max. :1.0000 fivenum(myvars$hp) ## [1] 52 96 123 180 335 # 五个分位数 install.packages("Hmisc") ## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.1' ## (as 'lib' is unspecified) library(Hmisc) ## Loading required package: lattice ## Loading required package: survival ## Loading required package: Formula ## Loading required package: ggplot2 ## ## Attaching package: 'Hmisc' ## The following objects are masked from 'package:base': ## ## format.pval, units 1