Created
May 11, 2021 13:05
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| install.packages("needs") | |
| library(needs) | |
| needs(sjlabelled, tidyverse, haven, magrittr, ggrepel, sf) | |
| # Load in data from all waves | |
| USoc_indresp_1 <- read_dta("/path to wave 1/", encoding = "latin1") | |
| USoc_indresp_2 <- read_dta("/path to wave 2/", encoding = "latin1") | |
| etc | |
| # Join all waves together, keeping the most recent driving licence record for each respondent, and their vote in the last election | |
| USoc_indresp_10 %>% | |
| dplyr::select(pidp, j_drive, j_vote8, j_indinub_xw) %>% | |
| left_join(USoc_indresp_1 %>% dplyr::select(pidp, a_drive)) %>% | |
| left_join(USoc_indresp_2 %>% dplyr::select(pidp, b_drive)) %>% | |
| left_join(USoc_indresp_3 %>% dplyr::select(pidp, c_drive)) %>% | |
| left_join(USoc_indresp_4 %>% dplyr::select(pidp, d_drive)) %>% | |
| left_join(USoc_indresp_5 %>% dplyr::select(pidp, e_drive)) %>% | |
| left_join(USoc_indresp_6 %>% dplyr::select(pidp, f_drive)) %>% | |
| left_join(USoc_indresp_7 %>% dplyr::select(pidp, g_drive)) %>% | |
| left_join(USoc_indresp_8 %>% dplyr::select(pidp, h_drive)) %>% | |
| left_join(USoc_indresp_9 %>% dplyr::select(pidp, i_drive)) %>% | |
| mutate(j_vote8 = as_character(j_vote8)) %>% | |
| gather(wave, drive, c(2,5:ncol(.))) %>% | |
| group_by(pidp, j_indinub_xw, j_vote8) %>% | |
| summarise(drive = ifelse(1 %in% drive, 1, 2)) %>% | |
| ungroup() %>% | |
| # Weighted counts of vote by driving licence status: | |
| count(drive, j_vote8, wt = j_indinub_xw) %>% | |
| filter(drive > 0) %>% | |
| mutate(drive = c("Yes", "No")[drive]) %>% | |
| # Get rid of records with no valid answer to the voting question: | |
| filter(!j_vote8 %in% c("inapplicable", "refusal")) %>% | |
| group_by(drive) %>% | |
| # Calculate the voting patterns of licence-holders and non-licence-holders: | |
| mutate(share = n/sum(n)*100) %>% | |
| View |
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