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Load the package with the following code:
library(cesR)The purpose of cesR is to make loading and working with the Canadian Election Study (CES) datasets in R more efficient. This is done through the use of five built-in functions.
In cesR, each CES dataset is associated with a code that can be used to download and load a dataset into the R workspace. The function for to get these codes is get_cescodes(), which prints a dataframe of the codes and the associated datasets.
get_cescodes()
#> index ces_survey_code get_ces_call_char
#> 1 1 ces2019_web "ces2019_web"
#> 2 2 ces2019_phone "ces2019_phone"
#> 3 3 ces2015_web "ces2015_web"
#> 4 4 ces2015_phone "ces2015_phone"
#> 5 5 ces2015_combo "ces2015_combo"
#> 6 6 ces2011 "ces2011"
#> 7 7 ces2008 "ces2008"
#> 8 8 ces2004 "ces2004"
#> 9 9 ces0411 "ces0411"
#> 10 10 ces0406 "ces0406"
#> 11 11 ces2000 "ces2000"
#> 12 12 ces1997 "ces1997"
#> 13 13 ces1993 "ces1993"
#> 14 14 ces1988 "ces1988"
#> 15 15 ces1984 "ces1984"
#> 16 16 ces1974 "ces1974"
#> 17 17 ces7480 "ces7480"
#> 18 18 ces72_jnjl "ces72_jnjl"
#> 19 19 ces72_sep "ces72_sep"
#> 20 20 ces72_nov "ces72_nov"
#> 21 21 ces1968 "ces1968"
#> 22 22 ces1965 "ces1965"Using the get_ces() function, it is possible to download and load a CES dataset using the values under the get_ces_call_char column in the printout provided by get_cescodes(). For the get_ces() function to work, it is necessary that the parameter passed to the function be a character string. Below, the 2019 CES online survey is being called.
get_ces("ces2019_web")
head(ces2019_web)
# A tibble: 6 x 620
cps19_StartDate cps19_EndDate cps19_ResponseId cps19_consent
<dttm> <dttm> <chr> <dbl+lbl>
1 2019-09-13 08:09:44 2019-09-13 08:36:19 R_1OpYXEFGzHRUpjM 1 [I consent to partic~
2 2019-09-13 08:39:09 2019-09-13 08:57:06 R_2qdrL3J618rxYW0 1 [I consent to partic~
3 2019-09-13 10:01:19 2019-09-13 10:27:29 R_USWDAPcQEQiMmNb 1 [I consent to partic~
4 2019-09-13 10:05:37 2019-09-13 10:50:53 R_3IQaeDXy0tBzEry 1 [I consent to partic~
5 2019-09-13 10:05:52 2019-09-13 10:32:53 R_27WeMQ1asip2cMD 1 [I consent to partic~
6 2019-09-13 10:10:20 2019-09-13 10:29:45 R_3LiGZcCWJEcWV4P 1 [I consent to partic~
# ... with 616 more variables: cps19_citizenship <dbl+lbl>, cps19_yob <dbl+lbl>,
# cps19_yob_2001_age <dbl+lbl>, cps19_gender <dbl+lbl>,
# cps19_province <dbl+lbl>, cps19_education <dbl+lbl>, cps19_demsat <dbl+lbl>,
# cps19_imp_iss <chr>, cps19_imp_iss_party <dbl+lbl>,
# cps19_imp_iss_party_7_TEXT <chr>, cps19_imp_loc_iss <chr>,
# cps19_imp_loc_iss_p <dbl+lbl>, cps19_imp_loc_iss_p_7_TEXT <chr>,
# cps19_interest_gen_1 <dbl>, cps19_interest_elxn_1 <dbl>, ...If you wish to know the survey question associated with a given variable for a CES dataset, the get_question() function will provide this information using a provided data object and column label. The function colnames() is useful to return the names of columns that can be used with get_question().
colnames(ces2019_web)
get_question("ces2019_web", "cps19_province")
Which province or territory are you currently living in?It should be noted that the get_question() function does not work with the 2019 CES phone dataset as it is downloaded in a .tab file type, and as such does not contain the necessary variable label information.
If you don’t wish to access an entire CES dataset, the get_preview() function provides a means of previewing a dataset for a desired number of rows. For this, you can specify the number of observations you wish returned, or leave the second parameter empty to return a default of 6 observations. The following would return a preview of 10 observations from the 2019 CES online survey.
get_preview("ces2019_web", 10)
# A tibble: 10 x 620
cps19_StartDate cps19_EndDate cps19_ResponseId cps19_consent
<dttm> <dttm> <chr> <fct>
1 2019-09-13 08:09:44 2019-09-13 08:36:19 R_1OpYXEFGzHRUpjM I consent to particip~
2 2019-09-13 08:39:09 2019-09-13 08:57:06 R_2qdrL3J618rxYW0 I consent to particip~
3 2019-09-13 10:01:19 2019-09-13 10:27:29 R_USWDAPcQEQiMmNb I consent to particip~
4 2019-09-13 10:05:37 2019-09-13 10:50:53 R_3IQaeDXy0tBzEry I consent to particip~
5 2019-09-13 10:05:52 2019-09-13 10:32:53 R_27WeMQ1asip2cMD I consent to particip~
6 2019-09-13 10:10:20 2019-09-13 10:29:45 R_3LiGZcCWJEcWV4P I consent to particip~
7 2019-09-13 10:14:47 2019-09-13 10:32:32 R_1Iu8R1UlYzVMycz I consent to particip~
8 2019-09-13 10:15:39 2019-09-13 10:30:59 R_2EcS26hqrcVYlab I consent to particip~
9 2019-09-13 10:15:48 2019-09-13 10:37:45 R_3yrt44wqQ1d4VRn I consent to particip~
10 2019-09-13 10:16:08 2019-09-13 10:40:14 R_10OBmXJyvn8feYQ I consent to particip~
# ... with 616 more variables: cps19_citizenship <fct>, cps19_yob <fct>,
# cps19_yob_2001_age <fct>, cps19_gender <fct>, cps19_province <fct>,
# cps19_education <fct>, cps19_demsat <fct>, cps19_imp_iss <chr>,
# cps19_imp_iss_party <fct>, cps19_imp_iss_party_7_TEXT <chr>,
# cps19_imp_loc_iss <chr>, cps19_imp_loc_iss_p <fct>,
# cps19_imp_loc_iss_p_7_TEXT <chr>, cps19_interest_gen_1 <dbl>,
# cps19_interest_elxn_1 <dbl>, cps19_v_likely <fct>, ...cesR also provides a prepared, non-exhaustive dataset for testing and teaching purposes. The provided function get_decon() calls and creates this dataset, which is made up of variables associated with demographics, economics, and voting intentions.
get_decon()
head(decon)
# A tibble: 6 x 52
ces_code citizenship yob gender province_territory education vote_likely
<chr> <fct> <fct> <fct> <fct> <fct> <fct>
1 ces2019_web Canadian citizen 1989 A woman Quebec Master's deg~ Certain to~
2 ces2019_web Canadian citizen 1998 A woman Quebec Master's deg~ Certain to~
3 ces2019_web Canadian citizen 2000 A woman Ontario Some univers~ Certain to~
4 ces2019_web Canadian citizen 1998 A man Ontario Some univers~ Certain to~
5 ces2019_web Canadian citizen 2000 A woman Ontario Completed se~ Certain to~
6 ces2019_web Canadian citizen 1999 A woman Ontario Some univers~ Certain to~
# ... with 45 more variables: vote_likely_ifable <fct>, votechoice <fct>,
# votechoice_text <chr>, votechoice_couldvote <fct>, votechoice_couldvote_text <chr>,
# vote_unlikely <fct>, vote_unlikely_text <chr>, vote_unlikely_couldvote <fct>,
# vote_unlikely_couldvote_text <chr>, vote_advancevote_choice <fct>,
# vote_advancevote_choice_text <chr>, vote_partylean <fct>, vote_partylean_text <chr>,
# vote_partylean_couldvote <fct>, vote_partylean_couldvote_text <chr>,
# votechoice_secondchoice <fct>, votechoice_secondchoice_text <chr>, ...These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.