Conditional mean statement r

dataset <- data.frame(continuous = rnorm(n = 10),
                      binary = sample(x = 0:1, size = 10, replace = TRUE))

dataset
#>     continuous binary
#> 1  -0.01978487      0
#> 2  -1.14185292      0
#> 3   0.20931787      0
#> 4  -0.63720730      0
#> 5   1.07750407      1
#> 6  -1.59274225      0
#> 7  -0.48722740      1
#> 8  -0.64151044      0
#> 9  -0.64111755      0
#> 10  0.99598287      1

# your method
mean(dataset[dataset$binary == 1, 1])
#> [1] 0.5287532
mean(dataset[dataset$binary == 0, 1])
#> [1] -0.6378425

# using by
by(data = dataset$continuous, INDICES = dataset$binary, FUN = mean)
#> dataset$binary: 0
#> [1] -0.6378425
#> -------------------------------------------------------- 
#> dataset$binary: 1
#> [1] 0.5287532

Source: community.rstudio.com

Similar codes

0 vote411 views1 answer
Angular material number picker
R
0 vote404 views1 answer
Save data frames in a loop r
R
1 vote408 views1 answer
R change a single value in a dataframe
R
0 vote344 views1 answer
Extract attribute in r
R
0 vote323 views1 answer
How to remove duplicates based on the combinations of two columns r
R
0 vote382 views1 answer
Non-redundant version of expand.grid
R
0 vote382 views1 answer
Two string in one string r
R
0 vote416 views1 answer
R extract top values from data frame
R
0 vote329 views1 answer
Infinite in r
R
0 vote360 views3 answers
Make the first row as header in r
R