for loop in r -looping through vector - r

Question

I am trying to loop through all the cols in my df and run a prop test on each of them.
library(gss)
To run on just one variable I can use--
infer::prop_test(gss,
college ~ sex,
order = c("female", "male"))
But now I want to run this for each variable in my df like this:
cols <- gss %>% select(-sex) %>% names(.)
for (i in cols){
# print(i)
prop_test(gss,
i~sex)
}
But this loop does not recognize the i;
Error: The response variable `i` cannot be found in this dataframe.
Any suggestions please??

Answer 1

We need to create the formula. Either use reformulate
library(gss)
library(infer)
out <- vector('list', length(cols))
names(out) <- cols
for(i in cols) {
out[[i]] <- prop_test(gss, reformulate("sex", response = i))
}
-output
> out
$college
# A tibble: 1 × 6
statistic chisq_df p_value alternative lower_ci upper_ci
<dbl> <dbl> <dbl> <chr> <dbl> <dbl>
1 0.0000204 1 0.996 two.sided -0.0917 0.101
$partyid
# A tibble: 1 × 3
statistic chisq_df p_value
<dbl> <dbl> <dbl>
1 12.9 3 0.00484
$class
# A tibble: 1 × 3
statistic chisq_df p_value
<dbl> <dbl> <dbl>
1 2.54 3 0.467
$finrela
# A tibble: 1 × 3
statistic chisq_df p_value
<dbl> <dbl> <dbl>
1 9.11 5 0.105
or paste
for(i in cols) {
prop_test(gss, as.formula(paste0(i, " ~ sex")))
}
data
library(dplyr)
data(gss)
cols <- gss %>%
select(where(is.factor), -sex, -income) %>%
names(.)