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r语言for循环步长,r的循环语句

时间:2023-05-06 11:47:47 阅读:238884 作者:3086

基本结构展示:

vals =c(5,6,7)

for(v in vals){
  print(v)
}

#即把大括号里的内容对vals里的每一个值都循环run一遍


实例展示:

1. paste() 命令是把几个字符连接起来,如paste("A","B","C",sep=" ")得到的就是“A B C”,在次基础上写如下for loop:

partnumber = c(1,2,5,78)
for(i in partnumber){
 print(paste("participant number",i, sep = " ")) 
}

#就可以得到一串参与者号码,根据上面给定的几个值, 从"participant number 1" 到"participant number 8" 


2. 双重loop

partnumber = c(1,2,5,78)
institution =c("cancer center", "RMH", "Florey")
for(i in partnumber){
  for(j in institution){
  print(paste("participant number",i,", institution",j,sep = " "))
}

}

# 先对j循环,后对i循环,得到如下结果

[1] "participant number 1 , institution cancer center"
[1] "participant number 1 , institution RMH"
[1] "participant number 1 , institution Florey"
[1] "participant number 2 , institution cancer center"
[1] "participant number 2 , institution RMH"
[1] "participant number 2 , institution Florey"
[1] "participant number 5 , institution cancer center"
[1] "participant number 5 , institution RMH"
[1] "participant number 5 , institution Florey"
[1] "participant number 78 , institution cancer center"
[1] "participant number 78 , institution RMH"
[1] "participant number 78 , institution Florey"

# 两个loop的话,output得放最中心的loop里面,如果只要要第一层loop,就放在靠外一层括号里面,第二层括号就保留最后的一个值



3. 数据库实例演示

 Titanic=read.csv("https://goo.gl/4Gqsnz")  #从网络读取数据<0.2, 0.2-0.6还是>0.6。

目的:看不同舱位(Pclass)和不同性别(Sex)的人的生存率是

A<- sort(unique(Pclass))   #sort可以把类别按大小顺序排,unique()命令是把分类变量的种类提取出来
B<- sort(unique(Sex))


for(i in A){ 
  for(j in B){
   if(mean(Survived[Pclass==i&Sex==j])<0.2){
    print(paste("for class",i,"sex",j,"mean survival is less than 0.2"))
  } else if (mean(Survived[Pclass==i&Sex==j])>0.6){
    print(paste("for class",i,"sex",j,"mean survival is more than 0.6"))
  } else {
    print(paste("for class",i,"sex",j,"mean survival is between 0.2 and 0.6"))}
 
  }
  
}


结果如下:

[1] "for class 1 sex female mean survival is more than 0.6"
[1] "for class 1 sex male mean survival is between 0.2 and 0.6"
[1] "for class 2 sex female mean survival is more than 0.6"
[1] "for class 2 sex male mean survival is less than 0.2"
[1] "for class 3 sex female mean survival is between 0.2 and 0.6"
[1] "for class 3 sex male mean survival is less than 0.2"



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