 # create list of variables by condition

Hello,
I need to create a list of variables. The new variables must have the values by a condition.
For example, I want to create v1_d based on v1.

``````bbdd\$v1_d=ifelse(bbdd\$v1==1,1,NA)
``````

All the new variables have the same names, addiing a "_" to the end as I wrote up.
On Stata this is simple, but here I'm confused.

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

This is an example:
I did it one by one the routine I desire.

``````k1=c(1,2,3,4,5)
k2=c(10,20,30,40,50)
k3=c(3,5,7,9,11)
k4=c(1,NA,1,1,NA)
kk=data.frame(k1,k2,k3,k4)

listv=c("k1","k2","k3") # list of variables

kk\$k1_d=ifelse(kk\$k1>3,1,NA)
kk\$k2_d=ifelse(kk\$k2>3,1,NA)
kk\$k3_d=ifelse(kk\$k3>3,1,NA)
kk
``````

So, you can see the logic in creating a variables adding a "_d".
Now, imagine a list with many variables ( over 50).
Can I write a loop?
Or maybe using apply?

Your code works flawlessly, but if I need to create "ppk1","ppk2", and so on...what I must edit?

You are asking for trivial modifications, I think you can keep going on your own from here

``````library(dplyr)
library(stringr)

kk <- data.frame(
k1 = c(1, 2, 3, 4, 5),
k2 = c(10, 20, 30, 40, 50),
k3 = c(3, 5, 7, 9, 11),
k4 = c(1, NA, 1, 1, NA)
)

listv <- c("k1","k2","k3")

kk %>%
mutate_at(vars(all_of(listv)),
list(pp = ~ if_else(. > 3, 1, NA_real_))) %>%
rename_at(vars(contains("_pp")), ~paste0("pp", str_remove(., "_pp")))
#>   k1 k2 k3 k4 ppk1 ppk2 ppk3
#> 1  1 10  3  1   NA    1   NA
#> 2  2 20  5 NA   NA    1    1
#> 3  3 30  7  1   NA    1    1
#> 4  4 40  9  1    1    1    1
#> 5  5 50 11 NA    1    1    1
``````

Thanks, andresrcs.
That's all I was askling for.

You can find all of this and more here (and for free)

1 Like

I will read it. I need to say, thanks a lot, adresrcs!

This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.

When working with R a loop is rarely the best way to go, try with this instead

``````library(dplyr)

kk <- data.frame(
k1 = c(1, 2, 3, 4, 5),
k2 = c(10, 20, 30, 40, 50),
k3 = c(3, 5, 7, 9, 11),
k4 = c(1, NA, 1, 1, NA)
)

listv <- c("k1","k2","k3")

kk %>%
mutate_at(vars(all_of(listv)),
list(d = ~ if_else(. > 3, 1, NA_real_)))
#>   k1 k2 k3 k4 k1_d k2_d k3_d
#> 1  1 10  3  1   NA    1   NA
#> 2  2 20  5 NA   NA    1    1
#> 3  3 30  7  1   NA    1    1
#> 4  4 40  9  1    1    1    1
#> 5  5 50 11 NA    1    1    1
``````

Created on 2020-04-16 by the reprex package (v0.3.0.9001)

I noticed that reproduce k1_pp is simple. I just need to edit as this your code:

`````` list(pp = ~ if_else(. > 3, 1, NA_real_)))
``````

However, create k1c is different. Always the new variables come with the "_" line.
I know It's a bit annoying asking this...
How to edit the code to create "k1c"?
Even more, how to edit in order to create "ck1"?

Tha'ts great, andresrcs!
One last thing...
Where did you add the "_d" to the new variables?
I suppose is here

`````` list(d = ~ if_else(. > 3, 1, NA_real_)))
``````

I mean, what if I need to perform almost the same, but instead of, for example, create k1_d I need to add the variable k1c or k1_pp. How do I edit your code?
Thanks again, andresrcs.

I don't know if this is the only way to do it but you can rename afterward

``````library(dplyr)
library(stringr)

kk <- data.frame(
k1 = c(1, 2, 3, 4, 5),
k2 = c(10, 20, 30, 40, 50),
k3 = c(3, 5, 7, 9, 11),
k4 = c(1, NA, 1, 1, NA)
)

listv <- c("k1","k2","k3")

kk %>%
mutate_at(vars(all_of(listv)),
list(c = ~ if_else(. > 3, 1, NA_real_))) %>%
rename_at(vars(contains("_")), str_remove, "_")
#>   k1 k2 k3 k4 k1c k2c k3c
#> 1  1 10  3  1  NA   1  NA
#> 2  2 20  5 NA  NA   1   1
#> 3  3 30  7  1  NA   1   1
#> 4  4 40  9  1   1   1   1
#> 5  5 50 11 NA   1   1   1
``````