I have a dataset which is something like this
USA x.1 Canada x.2 China x.3 Russia x.4 Germany x.5
data 12 34 34 45 34 67 56 45 45 56
I want to delete all the columns with the column name x.1, x.2 and so on. how can i do this in R via subset
Probably the shortest way to achieve this is:
df <- df[c(T,F)]
# USA Canada China Russia Germany
#data 12 34 34 56 45
The vector c(TRUE,FALSE)
[abbreviated here as c(T,F)
] is recycled, leading to an alternating series of TRUE, FALSE, TRUE, FALSE
etc. Thereby, every second column is removed.
只需选择您要保留的列:
df <- df[,seq(1,ncol(df),2)]
您可以使用正则表达式。
df[,!grepl("^x\\.[[:digit:]]+$",colnames(df))]
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