I have a huge data set. Here is an example:
我有一个庞大的数据集。这是一个例子:
Ac.1<-rnorm(100, 0, 1)
At.2<-rnorm(100, 0, 1)
Ae.3<-rnorm(100, 0, 1)
Ba.1<-rnorm(100, 0, 1)
Bc.2<-rnorm(100, 0, 1)
Be.3<-rnorm(100, 0, 1)
Cb.1<-rnorm(100, 0, 1)
Cy.2<-rnorm(100, 0, 1)
Cc.3<-rnorm(100, 0, 1)
The current data set looks like:
当前数据集如下所示:
current.df<-data.frame(Ac.1,Ae.3,Ba.1,At.2,Bc.2,Cb.1,Cy.2,Be.3,Cc.3)
I want to create the small date frame that has the same title of "B", namedsmall.df
. It should look like
我想创建具有相同标题“B”,namedsmall.df的小日期框架。应该是这样的
name(small.df)
[1] "Ba.1" "Bc.2" "Be.3"
2 个解决方案
#1
0
You can perform the desired process by selecting your letter.
You can use a combination of assign & regexpr to find your col and assign the final DF :
您可以通过选择您的信件来执行所需的过程。您可以使用assign和regexpr的组合来查找col并分配最终的DF:
#Chose your Letter
letter <- "B"
#Find columns in colnames with a regexpr
cols <- which(regexpr(paste0("^",letter),names(current.df)) != -1)
#Assign a letter variable dependant name to your new DF
assign(paste0(letter,".small.df"),current.df[,cols])
Hope that wil helps
希望对你有所帮助
Gottavianoni
#2
0
You can do this to select the columns.
您可以这样做以选择列。
small.df <- current.df[, c("Ba.1", "Bc.2", "Be.3")]
Or this to select all the columns began with "B".
或者这样选择以“B”开头的所有列。
small.df <- current.df[, grepl("^B", names(current.df))]
#1
0
You can perform the desired process by selecting your letter.
You can use a combination of assign & regexpr to find your col and assign the final DF :
您可以通过选择您的信件来执行所需的过程。您可以使用assign和regexpr的组合来查找col并分配最终的DF:
#Chose your Letter
letter <- "B"
#Find columns in colnames with a regexpr
cols <- which(regexpr(paste0("^",letter),names(current.df)) != -1)
#Assign a letter variable dependant name to your new DF
assign(paste0(letter,".small.df"),current.df[,cols])
Hope that wil helps
希望对你有所帮助
Gottavianoni
#2
0
You can do this to select the columns.
您可以这样做以选择列。
small.df <- current.df[, c("Ba.1", "Bc.2", "Be.3")]
Or this to select all the columns began with "B".
或者这样选择以“B”开头的所有列。
small.df <- current.df[, grepl("^B", names(current.df))]