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Dutz, Gregor
leo
Commits
afc26159
Commit
afc26159
authored
3 years ago
by
gdutz
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Change magrittr pipe %>% to native pipe |>
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DESCRIPTION
+2
-1
2 additions, 1 deletion
DESCRIPTION
NAMESPACE
+0
-1
0 additions, 1 deletion
NAMESPACE
R/leo_svydesign.R
+13
-14
13 additions, 14 deletions
R/leo_svydesign.R
with
15 additions
and
16 deletions
DESCRIPTION
+
2
−
1
View file @
afc26159
Package: leo
Package: leo
Type: Package
Type: Package
Title: Useful functions for LEO surveys
Title: Useful functions for LEO surveys
Version: 0.2.
3
Version: 0.2.
4
Author: Gregor Dutz
Author: Gregor Dutz
Maintainer: Gregor Dutz <gregor.dutz@uni-hamburg.de>
Maintainer: Gregor Dutz <gregor.dutz@uni-hamburg.de>
Description: Implements simple functions to handle data from two German surveys
Description: Implements simple functions to handle data from two German surveys
(LEO 2010 and LEO 2018). This includes correct use of survey weights and
(LEO 2010 and LEO 2018). This includes correct use of survey weights and
plausible values using the packages "survey" and "mitools".
plausible values using the packages "survey" and "mitools".
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
License: MIT + file LICENSE
Encoding: UTF-8
Encoding: UTF-8
LazyData: true
LazyData: true
...
...
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NAMESPACE
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0
−
1
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afc26159
# Generated by roxygen2: do not edit by hand
# Generated by roxygen2: do not edit by hand
export(leo_svydesign)
export(leo_svydesign)
importFrom(magrittr,"%>%")
importFrom(rlang,":=")
importFrom(rlang,":=")
importFrom(rlang,.data)
importFrom(rlang,.data)
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R/leo_svydesign.R
+
13
−
14
View file @
afc26159
...
@@ -5,7 +5,6 @@
...
@@ -5,7 +5,6 @@
#' @param replist When true, the function returns an imputation list instead of survey design object.
#' @param replist When true, the function returns an imputation list instead of survey design object.
#' @return A survey design or imputation list object.
#' @return A survey design or imputation list object.
#'
#'
#' @importFrom magrittr %>%
#' @importFrom rlang :=
#' @importFrom rlang :=
#' @importFrom rlang .data
#' @importFrom rlang .data
#' @export
#' @export
...
@@ -16,13 +15,13 @@ leo_svydesign <- function(df, survey = "leo2018", replist = FALSE) {
...
@@ -16,13 +15,13 @@ leo_svydesign <- function(df, survey = "leo2018", replist = FALSE) {
if
(
survey
==
"leo2010"
||
survey
==
"leo2018"
||
survey
==
"leo2018hoch"
)
{
if
(
survey
==
"leo2010"
||
survey
==
"leo2018"
||
survey
==
"leo2018hoch"
)
{
if
(
survey
==
"leo2010"
)
{
if
(
survey
==
"leo2010"
)
{
# remove logits
# remove logits
df
<-
df
%>%
dplyr
::
select
(
-
tidyselect
::
matches
(
"^pv[1-5]$"
))
df
<-
df
|>
dplyr
::
select
(
-
tidyselect
::
matches
(
"^pv[1-5]$"
))
# rename variables for pvs and levels
# rename variables for pvs and levels
old
=
c
(
"pv1_62"
,
"pv2_62"
,
"pv3_62"
,
"pv4_62"
,
"pv5_62"
,
old
=
c
(
"pv1_62"
,
"pv2_62"
,
"pv3_62"
,
"pv4_62"
,
"pv5_62"
,
"pv1_alphalevel_62"
,
"pv2_alphalevel_62"
,
"pv3_alphalevel_62"
,
"pv4_alphalevel_62"
,
"pv5_alphalevel_62"
)
"pv1_alphalevel_62"
,
"pv2_alphalevel_62"
,
"pv3_alphalevel_62"
,
"pv4_alphalevel_62"
,
"pv5_alphalevel_62"
)
new
=
c
(
"pv1"
,
"pv2"
,
"pv3"
,
"pv4"
,
"pv5"
,
new
=
c
(
"pv1"
,
"pv2"
,
"pv3"
,
"pv4"
,
"pv5"
,
"alpha_pv1"
,
"alpha_pv2"
,
"alpha_pv3"
,
"alpha_pv4"
,
"alpha_pv5"
)
"alpha_pv1"
,
"alpha_pv2"
,
"alpha_pv3"
,
"alpha_pv4"
,
"alpha_pv5"
)
df
<-
df
%>%
dplyr
::
rename_at
(
dplyr
::
vars
(
old
),
~
new
)
df
<-
df
|>
dplyr
::
rename_at
(
dplyr
::
vars
(
old
),
~
new
)
}
}
# some functions need a helper variable
# some functions need a helper variable
...
@@ -32,25 +31,25 @@ leo_svydesign <- function(df, survey = "leo2018", replist = FALSE) {
...
@@ -32,25 +31,25 @@ leo_svydesign <- function(df, survey = "leo2018", replist = FALSE) {
lit
<-
grep
(
"^pv[0-9]+"
,
colnames
(
df
),
value
=
TRUE
)
lit
<-
grep
(
"^pv[0-9]+"
,
colnames
(
df
),
value
=
TRUE
)
alp
<-
grep
(
"^alpha_pv[0-9]+"
,
colnames
(
df
),
value
=
TRUE
)
alp
<-
grep
(
"^alpha_pv[0-9]+"
,
colnames
(
df
),
value
=
TRUE
)
# column names of all other variables
# column names of all other variables
all
<-
df
%>%
dplyr
::
select
(
-
tidyselect
::
one_of
(
lit
),
-
tidyselect
::
one_of
(
alp
))
all
<-
df
|>
dplyr
::
select
(
-
tidyselect
::
one_of
(
lit
),
-
tidyselect
::
one_of
(
alp
))
all
<-
colnames
(
all
)
all
<-
colnames
(
all
)
# create list with one pv-variable and one level-variable each (and all other variables)
# create list with one pv-variable and one level-variable each (and all other variables)
repList
<-
lit
%>%
repList
<-
lit
|>
purrr
::
map
(
function
(
x
)
{
dplyr
::
select
(
df
,
all
,
paste0
(
"alpha_"
,
x
),
x
)
%>%
purrr
::
map
(
function
(
x
)
{
dplyr
::
select
(
df
,
all
,
paste0
(
"alpha_"
,
x
),
x
)
|>
dplyr
::
rename
(
pv
=
!!
x
)
%>%
dplyr
::
rename
(
pv
=
!!
x
)
|>
dplyr
::
rename
(
alpha_pv
=
!!
paste0
(
"alpha_"
,
x
))})
dplyr
::
rename
(
alpha_pv
=
!!
paste0
(
"alpha_"
,
x
))})
# create further alpha-variables for different analyses
# create further alpha-variables for different analyses
# alpha3 (three levels): low literate (Alpha 1-3), Alpha 4, above Alpha 4
# alpha3 (three levels): low literate (Alpha 1-3), Alpha 4, above Alpha 4
# alpha2 (two levels): low literat (Alpha 1-3), high literate (Alpha 4 and above)
# alpha2 (two levels): low literat (Alpha 1-3), high literate (Alpha 4 and above)
# lowlit (two levels): same as alpha2, but reversed levels
# lowlit (two levels): same as alpha2, but reversed levels
repList
<-
lapply
(
repList
,
function
(
x
)
{
x
%>%
repList
<-
lapply
(
repList
,
function
(
x
)
{
x
|>
dplyr
::
mutate
(
alpha3
=
ifelse
(
x
$
alpha_pv
>
3
,
x
$
alpha_pv
,
1
))
%>%
dplyr
::
mutate
(
alpha3
=
ifelse
(
x
$
alpha_pv
>
3
,
x
$
alpha_pv
,
1
))
|>
dplyr
::
mutate
(
alpha2
=
ifelse
(
x
$
alpha_pv
>
3
,
1
,
0
))
%>%
dplyr
::
mutate
(
alpha2
=
ifelse
(
x
$
alpha_pv
>
3
,
1
,
0
))
|>
dplyr
::
mutate
(
lowlit
=
ifelse
(
x
$
alpha_pv
>
3
,
0
,
1
))
%>%
dplyr
::
mutate
(
lowlit
=
ifelse
(
x
$
alpha_pv
>
3
,
0
,
1
))
|>
dplyr
::
mutate
(
alpha3
=
factor
(
.data
$
alpha3
,
labels
=
(
c
(
"a1-3"
,
"a4"
,
"a5"
))))
%>%
dplyr
::
mutate
(
alpha3
=
factor
(
.data
$
alpha3
,
labels
=
(
c
(
"a1-3"
,
"a4"
,
"a5"
))))
|>
dplyr
::
mutate
(
alpha2
=
factor
(
.data
$
alpha2
,
labels
=
(
c
(
"a1-3"
,
"a4-5"
))))
%>%
dplyr
::
mutate
(
alpha2
=
factor
(
.data
$
alpha2
,
labels
=
(
c
(
"a1-3"
,
"a4-5"
))))
|>
dplyr
::
mutate
(
lowlit
=
factor
(
.data
$
lowlit
,
labels
=
(
c
(
"a4-5"
,
"a1-3"
))))
%>%
dplyr
::
mutate
(
lowlit
=
factor
(
.data
$
lowlit
,
labels
=
(
c
(
"a4-5"
,
"a1-3"
))))
|>
dplyr
::
mutate
(
alpha_pv
=
labelled
::
to_factor
(
.data
$
alpha_pv
))})
dplyr
::
mutate
(
alpha_pv
=
labelled
::
to_factor
(
.data
$
alpha_pv
))})
# if the imputation list is requested, return it and exit function
# if the imputation list is requested, return it and exit function
...
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