My data looks like this:
round <- c(rep("A", 3), rep("B", 3))
experiment <- rep(c("V1", "V2", "V3"), 2)
results <- rnorm(mean = 10, n = 6)
df <- data.frame(round, experiment, results)
> df
round experiment results
1 A V1 9.782025
2 A V2 8.973996
3 A V3 9.271109
4 B V1 9.374961
5 B V2 8.313307
6 B V3 10.837787
I have a different dataset that will be merged with this one where each combo of round
and experiment
is a unique row value, ie, "A_V1"
. So what I really want is a variable name
that concatenates the two columns together. However, this is tougher to do in dplyr than I expected. I tried:
name_mix <- paste0(df$round, "_", df$experiment)
new_df <- df %>%
mutate(name = name_mix) %>%
select(name, results)
But I got the error, Column name must be length 1 (the group size), not 6
. I also tried the simple base-R approach of cbind(df, name_mix)
but received a similar error telling me that df
and name_mix
were of different sizes. What am I doing wrong?
You can use the unite
function from tidyr
require(tidyverse)
df %>%
unite(round_experiment, c("round", "experiment"))
round_experiment results
1 A_V1 8.797624
2 A_V2 9.721078
3 A_V3 10.519000
4 B_V1 9.714066
5 B_V2 9.952211
6 B_V3 9.642900