I have three different data frames that are similar in their columns such:
df1 df2 df3
Class 1 2 3 Class 1 2 3 Class 1 2 3
A 5 3 2 A 7 3 10 A 5 4 1
B 9 1 4 B 2 6 2 A 2 6 2
C 7 9 8 C 4 7 1 A 12 3 8
I would like to iterate through the three files and select the data from the columns with similar name. In other words, I want to iterate three times and everytime select data of column 1, then column 2, and then column 3 and merge them in one data frame.
To do that, I did the following:
df1 <- read.csv(R1)
df2 <- read.csv(R2)
df3 <- read.csv(R3)
df <- data.frame(Class=character(), B1_1=integer(), B1_2=integer(), B1_3=integer(), stringsAsFactors=FALSE)
for(i in 1:3){
nam <- paste("X", i, sep = "") #here I want to call the column name such as X1, X2, and X3
df[seq_along(df1[nam]), ]$B1_1 <- df1[nam]
df[seq_along(df2[nam]), ]$B1_2 <- df2[nam]
df[seq_along(df3[nam]), ]$B1_3 <- df3[nam]
df$Class <- df1$Class
}
In this line df[seq_along(df1[nam]), ]$B1_1 <- df1[nam], I followed the solution from this but this produces the following error:
Error in `$<-.data.frame`(`*tmp*`, "B1_1", value = list(X1 = c(5L, 7L, :
replacement has 10 rows, data has 1
Do you have any idea how to solve it?
