Dear R-community,
I have a list in my workspace named “sample_experiment”, from which I need to draw some information in the form of vectors, like this:
first_column <- sample_experiment[[1]]$latent
second_column <- sample_experiment[[2]]$latent
third_column <- sample_experiment[[3]]$latent
And so on, up to
hundred_column <- sample_experiment[[100]]$latent
Each vector (column) would contain 10 different numerical values.
The question is, could guys please suggest a code to create all 100 vectors (columns) in one go, as it is obviously unfeasible to manually type all 100 vectors? Also, could guys suggest a code to combine all created 100 vectors into a dataframe with 10 rows and 100 columns?
Thank you guys for your time and consideration in regard to this matter!
You can just feed this to dplyr::bind_cols
.
library(dplyr)
# Creating some data that looks like your list
sample_experiment <- lapply(
1:100,
function(x) {
list('latent' = runif(10))
}
)
df <- bind_cols(sample_experiment)
#> New names:
df
#> # A tibble: 10 x 100
#> latent...1 latent...2 latent...3 latent...4 latent...5 latent...6 latent...7
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 0.781 0.184 0.123 0.945 0.0992 0.0220 0.333
#> 2 0.754 0.377 0.904 0.384 0.483 0.341 0.697
#> 3 0.123 0.0614 0.566 0.576 0.815 0.416 0.446
#> 4 0.738 0.827 0.728 0.161 0.507 0.881 0.105
#> 5 0.797 0.357 0.309 0.368 0.886 0.399 0.313
#> 6 0.264 0.404 0.231 0.306 0.666 0.171 0.421
#> 7 0.749 0.0410 0.335 0.897 0.959 0.0109 0.315
#> 8 0.810 0.331 0.813 0.971 0.830 0.710 0.998
#> 9 0.825 0.147 0.981 0.604 0.502 0.273 0.807
#> 10 0.0575 0.980 0.992 0.602 0.946 0.382 0.522
#> # ... with 93 more variables: latent...8 <dbl>, latent...9 <dbl>...
Created on 2022-05-13 by the reprex package (v1.0.0)
2 Likes
Thank you for a quick and really helpful reply!)
system
Closed
May 20, 2022, 5:34pm
4
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