Assuming we have a data frame df
with existing columns, to generate a new column new_col
using a for/nested loop in R, we can do the following:
# Create an empty vector to store the new column
new_col <- c()
# Loop through each row of the data frame
for (i in 1:nrow(df)) {
# Create an empty variable to store the cumulative value
cum_value <- 0
# Loop through each column of the row
for (j in 1:ncol(df)) {
# Add the value of the current column to the cumulative value
cum_value <- cum_value + df[i,j]
}
# Append the cumulative value to the new column vector
new_col <- c(new_col, cum_value)
}
# Add the new column to the data frame
df$new_col <- new_col
In this example, we are generating a new column that contains the cumulative sum of all the values in each row of the data frame. We first create an empty vector new_col
to store the new column. We then loop through each row of the data frame using a for
loop, and for each row, we create an empty variable cum_value
to store the cumulative value. We then loop through each column of the row using a nested for
loop, and for each column, we add the value of the current column to the cumulative value. Once we have calculated the cumulative value for the row, we append it to the new_col
vector. Finally, we add the new_col
vector to the data frame as a new column using the $
operator.
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Asked: 2023-06-13 14:18:28 +0000
Seen: 13 times
Last updated: Jun 13 '23
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