[英]Check and replace column values in R dataframe
I have multiple files to read in using R. I iterate through the files in a loop, obtain dataframes and then try to change values of a particular column. 我有多个文件需要使用R读取。我循环遍历文件,获取数据帧,然后尝试更改特定列的值。 Examples of the R dataframes are as follows:
R数据帧的示例如下:
df_A: DF_A:
ID ZN
1 0
2 1
3 1
4 0
df_B: DF_B:
ID ZN
1 2
2 1
3 1
4 2
As shown above, the column 'ZN' for some dataaframes may have 0's and 1's and others dataframes have have 1's and 2's. 如上所示,某些数据帧的列“ ZN”可能具有0和1,而其他数据帧则具有1和2。 What I want is - as I'm iterating through the files, I want to make changes only in the dataframes with column ZN having 1's and 2's like this: 1 to 0 and 2 to 1. Dataframes with ZN values as 0's and 1's will be left unchaged.
我想要的是-当我遍历文件时,我只想对ZN列具有1和2的数据帧进行更改,如下所示:1到0和2到1。将ZN值为0和1的数据帧进行更改放任不管。
my attempt did not work: 我的尝试没有用:
if(dataframe$ZN > 1){
dataframe$ZN<-recode(dataframe$ZN,"1=0;2=1")
}
else{
dataframe$ZN
}
Any solutions please? 有什么解决办法吗?
If there are only two values ie 0 and 1, then 如果只有两个值,即0和1,则
df_A$ZN <- (df_A$ZN==0) + 1
df_A$ZN
#[1] 2 1 1 2
Or using case_when
for multiple values 或对多个值使用
case_when
library(dplyr)
df_A %>%
mutate(ZN = case_when(ZN==0 ~2, TRUE ~ 1))
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