CODEWITHSUNDEEP
rdplyrstring-concatenation
mmyoung77
mmyoung77

Reputation: 1417

Concatenating two text columns in dplyr

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?

Upvotes: 32

Views: 74501

Answers (4)

Sandy
Sandy

Reputation: 1148

You could also try this:

library(tidyr)
library(dplyr)
df = df %>% 
   unite(combined, round, experiment, sep = "_", remove = FALSE)

The output will be:

combined round experiment   results
 A_V1     A         V1      10.152329
 A_V2     A         V2      10.863128
 A_V3     A         V3      10.975773
 B_V1     B         V1       9.964696
 B_V2     B         V2       9.876675
 B_V3     B         V3       9.252936

This will retain your original columns.

Upvotes: 7

MSW Data
MSW Data

Reputation: 461

Another solution could be to use the stri_join function in stringi package.

library(stringi)
df$new = stri_join(df$round,df$experiment,sep="_")

Upvotes: 3

Claus Portner
Claus Portner

Reputation: 300

This should do the trick if you are looking for a new variable

library(tidyverse)

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

df <- df %>% mutate(
  name = paste(round, experiment, sep = "_")
)

Upvotes: 14

DJV
DJV

Reputation: 4863

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

Upvotes: 57

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