I need to create an empty dataframe, and set up columns for appending values later on.
My code:
df <- data.frame()
varNames <- c("rho", "lambda", "counts")
colnames(df)<- varNames
df['$rho'] <- NA
df["lambda"] <- NA
df["counts"] <- NA
But
Error in [<-.data.frame(*tmp*, "$rho", value = NA) : replacement has 1 row, data has 0
occurs.
We can use
df1 <- data.frame(rho = numeric(), lambda = numeric(), counts = numeric())
rbind(df1, list(rho = NA, lambda = NA, counts = NA))
# rho lambda counts
#1 NA NA NA
If we are assigning separately, then a list would be useful
lst <- setNames(vector("list", 3), varNames)
lst[['rho']] <- NA
lst[['lambda']] <- NA
lst
#$rho
#[1] NA
#$lambda
#[1] NA
#$counts
#NULL
as list elements can be of different length whereas a data.frame is a list with equal length columns. Once the assignments are completed and are of equal lengths, then convert it to data.frame with data.frame(lst) and write it back to file