I have a dataframe Fold_change
with a column named Well
with 576 variables that are named A1
, A2
...and so on. I would like to add the prefix Plate_1_
to the first 288 and the prefix Plate_2_
to the rest of the variables.
I looked around and I found this possible solution
Fold_change$Well <- paste0('Plate_1_', Fold_change$Well)
But the problem here is that changes the name to all variables
So I tried to specify the number of rows:
Fold_change$Well[1:288] <- paste0('Plate_1_', Fold_change$Well[1:288])
but I receive this error
Warning message: In
[<-.factor
(*tmp*
, 1:288, value = c(NA, NA, NA, NA, NA, NA, : invalid factor level, NA generated
Try:
Fold_change$Well <- as.character(Fold_change$Well) # change column class from factor to character first
Fold_change$Well[1:288] <- paste0('Plate_1_', Fold_change$Well[1:288])
Try to convert the Well
column to string first. Then perform manipulation and if needed convert it back to factor.
Fold_change$Well <- as.character(Fold_change$Well)
Fold_change$Well[1:288] <- paste0('Plate_1_', Fold_change$Well[1:288])
# anithing else
Fold_change$Well <- as.factor(Fold_change$Well)
Here's a possible solution, just change the row number values:
dat <- data.frame(
col_a = paste0("A", 1:10)
)
dat #fake data, just 10 rows
# col_a
# 1 A1
# 2 A2
# 3 A3
# 4 A4
# 5 A5
# 6 A6
# 7 A7
# 8 A8
# 9 A9
# 10 A10
We can use paste0
to change values. And with gsub
we can find the new pattern and update it just for the rows we want (5th to 10th in the example).
dat$col_a <- paste0("Plate_1_", dat$col_a) #changes names for all
dat$col_a[5:length(dat$col_a)] <- gsub("Plate_1_", "Plate_2_",dat$col_a[5:length(dat$col_a)])
#updates only for last 6 values
dat
# col_a
# 1 Plate_1_A1
# 2 Plate_1_A2
# 3 Plate_1_A3
# 4 Plate_1_A4
# 5 Plate_2_A1
# 6 Plate_2_A2
# 7 Plate_2_A3
# 8 Plate_2_A4
# 9 Plate_2_A5
# 10 Plate_2_A6
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