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ianrmcdonald

Ian McDonald

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Oregon Precincts 2020
San Clemente Precincts
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DW-NOMINATE using ggjoy
DW-NOMINATE using ggjoy
DW-NOMINATE using ggjoy
Code: library(pscl) library(tidyverse) library(wnominate) library(readr) colpos1 <- c(4, 6, 3, 2, 8, 5, 15, 10, 10, 10, 10, 8, 11, 5, 5, 10) colnames <- c("congress", "icpsr", "st_code", "cd", "st_name", "party_code", "mc_name", "dim_1", "dim_2", "dim_1_se", "dim_2_se", "dim_1_2_corr,", "log_lik", "num_votes", "num_class_err", "geo_mean_prob") all_house <- read_fwf("ftp://k7moa.com/junkord/HL01113D21_BSSE.DAT", fwf_widths(colpos1, col_names=colnames)) all_house_88_113 <- all_house %>% filter(congress >= 88 & st_name != "USA") %>% filter(party_code == 100 | party_code == 200) %>% arrange(desc(congress)) %>% mutate(year1 = congress * 2 + 1787) %>% arrange(desc(year1)) ggplot(all_house_88_113, aes(x = dim_1, y = year1, group=year1)) + geom_joy(data=filter(all_house_88_113, party_code==100), scale = 7, size = 0.25, rel_min_height = 0.01, fill="blue", alpha=0.2) + geom_joy(data=filter(all_house_88_113, party_code==200), scale = 7, size = 0.25, rel_min_height = 0.01, fill="red", alpha=0.2) + theme_joy() + #theme(axis.text.y = element_blank()) + scale_x_continuous(limits=c(-1, 1.3), expand = c(0.01, 0), breaks=c(-1,-.75,-.5,-.25,0,.25,.5,.75,1)) + #scale_y_continuous(breaks=c(seq(2010,1970,-5))) + scale_y_reverse(breaks=c(seq(2013,1963,-10))) + ggtitle("DW-NOMINATE by party of U.S. House: 1963-2013") + ylab("") + xlab("Distribution of 1st Dimension DW-NOMINATE by party")
DW-NOMINATE using ggjoy
DW-NOMINATE using ggjoy
DW-NOMINATE using ggjoy
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