I know there are many questions on this topic so I apologize if this is a duplicate question. I'm trying to collapse multiple columns in a data set into one column:
Assuming this is the structure of the dataset I am working with,
df <- data.frame(
cbind(
variable_1 = c('Var1', NA, NA,'Var1'),
variable_2 = c('Var2', 'No', NA, NA),
variable_3 = c(NA, NA, 'Var3', NA),
variable_4 = c(NA, 'Var4', NA, NA),
variable_5 = c(NA, 'No', 'Var5', NA),
variable_6 = c(NA, NA, 'Var6', NA)
))
variable_1 variable_2 variable_3 variable_4 variable_5 variable_6
Var1 Var2 NA NA NA NA
NA No NA Var4 No NA
NA NA Var3 NA Var5 Var6
Var1 NA NA NA NA NA
What I am expecting is a one column variable_7
like this
variable_1 variable_2 variable_3 variable_4 variable_5 variable_6 variable_7
Var1 Var2 NA NA NA NA Var1, Var2
NA No NA Var4 No NA Var4
NA NA Var3 NA Var5 Var6 Var3, Var5, Var6
Var1 NA NA NA NA NA Var1
df$variable_7 <- apply(df, 1, function(x) paste(x[!is.na(x) & x != "No"], collapse = ", "));
df;
# variable_1 variable_2 variable_3 variable_4 variable_5 variable_6
#1 Var1 Var2 <NA> <NA> <NA> <NA>
#2 <NA> No <NA> Var4 No <NA>
#3 <NA> <NA> Var3 <NA> Var5 Var6
#4 Var1 <NA> <NA> <NA> <NA> <NA>
# variable_7
#1 Var1, Var2
#2 Var4
#3 Var3, Var5, Var6
#4 Var1
Explanation: Use apply
and paste(..., collapse = ", ")
to concatenate all row entries (except NA
s and "No"
s) and store in new column variable_7
.
df <- data.frame(
cbind(
variable_1 = c('Var1', NA, NA,'Var1'),
variable_2 = c('Var2', 'No', NA, NA),
variable_3 = c(NA, NA, 'Var3', NA),
variable_4 = c(NA, 'Var4', NA, NA),
variable_5 = c(NA, 'No', 'Var5', NA),
variable_6 = c(NA, NA, 'Var6', NA)
))