# [R] Help with function and survey data

Edjabou Vincent m@k|@we @end|ng |rom gm@||@com
Mon Oct 31 19:45:27 CET 2022

```Dear Bert

Thank you for your suggestion. I have tried it but it did not work.

For record, I am reposting the post with the plain text.
library(tidyverse)
library(plyr)
library(survey)

dat <- structure(list(
r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L,
2L, 3L, 2L, 2L,3L, 3L, 3L, 1L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_5 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L,2L, 3L,
2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
r3a_6 = structure(c(3L,3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 2L, 2L, 3L,2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_7 = structure(c(1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L,3L, 3L,
2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_8 = structure(c(3L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 3L, 3L, 2L,  2L, 2L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_9 = structure(c(1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,3L, 3L,
2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
weight = c(0.34, 0.34, 0.34,0.34, 0.34, 0.34, 0.34, 0.34, 0.34,
0.34, 0.34, 0.34, 0.43, 0.43, 0.43, 0.34, 0.34, 0.34, 0.34, 0.34),
seg_2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor"),
seg_3 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L,
2L, 1L, 1L, 1L,1L, 2L, 2L, 2L),
.Label = c("1", "2"), class = "factor"),
seg_4 = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L,
2L, 1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor")),
.Names = c("r3a_1", "r3a_2", "r3a_3", "r3a_4", "r3a_5", "r3a_6",
"r3a_7", "r3a_8", "r3a_9", "weight", "seg_2","seg_3","seg_4"),
row.names = c(NA, 20L), class = "data.frame")

dat_weight <- svydesign(ids = ~1, weights = ~weight, data = dat)

my_funca <- function(mk,y){
my_re <-   ldply( mk, function(x)
svytable(bquote(~ y + .(as.name(x))), dat_weight) %>%
as_tibble() %>%
dplyr::group_by({{y}}) %>%
transmute(!!(as.name(x)), Procent = round(n/sum(n,na.rm = T)*100,2)) %>%
pivot_wider(names_from = (as.name(x)),
values_from = Procent)
)
return(my_re)
}

my_funca(mk =names(dat)[1:9], y = dat\$seg_2)
Regards,

Vincent Edjabou
Mobile: +45 31 95 99 33
linkedin.com/vincent

Orcid: 0000-0003-2849-6151

Regards,

Vincent Edjabou
Mobile: +45 31 95 99 33
linkedin.com/vincent

Orcid: 0000-0003-2849-6151

On Mon, Oct 31, 2022 at 5:21 PM Bert Gunter <bgunter.4567 using gmail.com> wrote:
>
> 1. This is a plain text list. Set your email to post in plain text, not html, which often gets mangled (see below).
>
> 2. I did not run your example, but try:
> my_funca(mk =names(dat)[1:9], y = dat\$seg_2)
>
> ## seg_2 is a component of dat and is not in the environment of the call. I did not see any data argument that would tell it to look elsewhere, but I am not familiar with tidy_whatever's nonstandard evaluation conventions.
>
> -- Bert
>
> On Mon, Oct 31, 2022 at 8:39 AM Edjabou Vincent <maklawe using gmail.com> wrote:
>>
>> Dear R-Help
>> I am working with complex survey data using the survey package.
>> I would like to create a function for the generate multi crosstable. The
>> problem is that I am getting error with the following message:
>> "Error in eval(predvars, data, env) : object 'y' not found"
>>
>> Here is the example:
>> library(tidyverse)
>> library(plyr)
>> library(survey)
>>
>> dat <- structure(list(
>>    r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L, 2L,
>> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
>>         .Label = c("Don't Know", "No", "Yes"), class = "factor"),
>>   r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
>> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
>>                     .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>>   r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L,
>> 2L, 2L, 2L, 2L, 2L, 3L, 3L),
>>                     .Label = c("Don't Know","No", "Yes"), class =
>> "factor"),
>>   r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L,
>> 3L, 2L, 2L,3L, 3L, 3L, 1L),
>>                     .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>>   r3a_5 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L,2L, 3L, 2L,
>> 3L, 3L, 2L, 3L, 2L, 3L, 1L),
>>                     .Label = c("Don't Know","No", "Yes"), class =
>> "factor"),
>>   r3a_6 = structure(c(3L,3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
>> 2L, 2L, 3L,2L, 3L, 3L, 3L),
>>                     .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>>   r3a_7 = structure(c(1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L,3L, 3L, 2L,
>> 2L, 2L, 2L, 2L, 3L, 3L, 3L),
>>                     .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>>   r3a_8 = structure(c(3L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
>> 3L, 3L, 2L,  2L, 2L, 3L, 3L),
>>                     .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>>   r3a_9 = structure(c(1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,3L, 3L, 2L,
>> 2L, 2L, 3L, 2L, 2L, 3L, 3L),
>>                     .Label = c("Don't Know","No", "Yes"), class =
>> "factor"),
>>   weight = c(0.34, 0.34, 0.34,0.34, 0.34, 0.34, 0.34, 0.34, 0.34, 0.34,
>> 0.34, 0.34, 0.43, 0.43, 0.43, 0.34, 0.34, 0.34, 0.34, 0.34),
>>   seg_2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L,
>> 1L, 1L, 1L,1L, 1L, 1L, 1L),
>>                     .Label = c("1", "2"), class = "factor"),
>>   seg_3 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
>> 1L, 1L, 1L,1L, 2L, 2L, 2L),
>>                     .Label = c("1", "2"), class = "factor"),
>>   seg_4 = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
>> 1L, 1L, 1L,1L, 1L, 1L, 1L),
>>                     .Label = c("1", "2"), class = "factor")),
>>   .Names = c("r3a_1", "r3a_2", "r3a_3", "r3a_4", "r3a_5", "r3a_6", "r3a_7",
>> "r3a_8", "r3a_9", "weight", "seg_2","seg_3","seg_4"), row.names = c(NA,
>> 20L), class = "data.frame")
>>
>>  dat_weight <- svydesign(ids = ~1, weights = ~weight, data = dat)
>>
>> my_funca <- function(mk,y){
>>    my_re <-   ldply( mk, function(x)
>>       svytable(bquote(~ y + .(as.name(x))), dat_weight) %>%
>>         as_tibble() %>%
>>         dplyr::group_by({{y}}) %>%
>>         transmute(!!(as.name(x)), Procent = round(n/sum(n,na.rm =
>> T)*100,2)) %>%
>>         pivot_wider(names_from = (as.name(x)),
>>                     values_from = Procent)
>>    )
>>    return(my_re)
>> }
>>
>> my_funca(mk =names(dat)[1:9], y = seg_2)
>>
>>
>> I will appreciate any help you will provide.
>>
>>
>>
>>
>> Regards,
>>
>> Vincent Edjabou
>> Mobile: +45 31 95 99 33
>> linkedin.com/vincent
>> <http://linkedin.com/in/vincent-maklawe-edjabou-9742a41b>
>>
>> Orcid: 0000-0003-2849-6151
>>
>>         [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.

```

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