r - Negative valued factors in stacked barplot -


i trying figure out way of introducing negative values of factors in stacked barplot in ggplot2. data level of support basic income among finnish mps. @ bottom of post.

i can plot 1 want (minus negatively valued factors) following code:

library(forcats) library(ggplot2)   support.plot <- ggplot(mpsupport.df, aes(fct_infreq(party))) + geom_bar (aes(fill=support)) +  coord_flip() + theme(legend.position = "bottom")+ ylab("party") + xlab("number of mps")

this gives following:

stacked bar chart of mp support basic income

what graph centred on green-turquoise border, support basic income right, while opposition left. make sense?

data:

   > dput(mpsupport.df) structure(list(party = structure(c(1l, 2l, 2l, 2l, 2l, 2l, 4l,  4l, 4l, 4l, 4l, 4l, 4l, 4l, 6l, 8l, 8l, 8l, 8l, 8l, 8l, 8l, 8l,  8l, 8l, 8l, 8l, 8l, 8l, 8l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 2l,  2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,  2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,  2l, 3l, 3l, 3l, 3l, 4l, 4l, 4l, 4l, 5l, 6l, 6l, 6l, 6l, 6l, 6l,  6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 7l,  7l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l,  1l, 1l, 1l, 1l, 1l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 3l, 3l, 3l,  3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,  3l, 3l, 3l, 3l, 3l, 5l, 5l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l, 6l,  6l, 6l, 6l, 6l, 7l, 7l, 7l, 7l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 3l,  3l, 3l, 3l, 3l, 3l, 5l, 6l, 7l, 7l, 7l), .label = c("national coalition",  "centre party", "social democratic party", "left alliance", "christian democrats",  "true finns", "swedish people's party", "greens"), class = "factor"),      support = structure(c(1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l,      1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l, 1l,      1l, 1l, 1l, 1l, 1l, 1l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,      2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,      2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,      2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,      2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l, 2l,      2l, 2l, 2l, 2l, 2l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,      3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,      3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,      3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,      3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l, 3l,      3l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l, 4l,      4l, 4l, 4l, 4l), .label = c("fully.agree", "partially.agree",      "partially.disagree", "fully.disagree"), class = "factor")), .names = c("party",  "support"), row.names = c("1", "2", "2.1", "2.2", "2.3", "2.4",  "4", "4.1", "4.2", "4.3", "4.4", "4.5", "4.6", "4.7", "6", "8",  "8.1", "8.2", "8.3", "8.4", "8.5", "8.6", "8.7", "8.8", "8.9",  "8.10", "8.11", "8.12", "8.13", "8.14", "9", "9.1", "9.2", "9.3",  "9.4", "9.5", "9.6", "9.7", "10", "10.1", "10.2", "10.3", "10.4",  "10.5", "10.6", "10.7", "10.8", "10.9", "10.10", "10.11", "10.12",  "10.13", "10.14", "10.15", "10.16", "10.17", "10.18", "10.19",  "10.20", "10.21", "10.22", "10.23", "10.24", "10.25", "10.26",  "10.27", "10.28", "10.29", "10.30", "10.31", "10.32", "10.33",  "11", "11.1", "11.2", "11.3", "12", "12.1", "12.2", "12.3", "13",  "14", "14.1", "14.2", "14.3", "14.4", "14.5", "14.6", "14.7",  "14.8", "14.9", "14.10", "14.11", "14.12", "14.13", "14.14",  "14.15", "14.16", "14.17", "14.18", "14.19", "14.20", "15", "15.1",  "17", "17.1", "17.2", "17.3", "17.4", "17.5", "17.6", "17.7",  "17.8", "17.9", "17.10", "17.11", "17.12", "17.13", "17.14",  "17.15", "17.16", "17.17", "17.18", "17.19", "18", "18.1", "18.2",  "18.3", "18.4", "18.5", "18.6", "18.7", "19", "19.1", "19.2",  "19.3", "19.4", "19.5", "19.6", "19.7", "19.8", "19.9", "19.10",  "19.11", "19.12", "19.13", "19.14", "19.15", "19.16", "19.17",  "19.18", "19.19", "19.20", "19.21", "19.22", "19.23", "21", "21.1",  "22", "22.1", "22.2", "22.3", "22.4", "22.5", "22.6", "22.7",  "22.8", "22.9", "22.10", "22.11", "22.12", "23", "23.1", "23.2",  "23.3", "25", "25.1", "25.2", "25.3", "25.4", "25.5", "25.6",  "27", "27.1", "27.2", "27.3", "27.4", "27.5", "29", "30", "31",  "31.1", "31.2"), class = "data.frame")

try along these lines:

library(ggplot) library(forcats)  mpsupport.df$dummy = ifelse(mpsupport.df$support %in% c("fully.agree", "partially.agree"), 1, -1)  agg = aggregate(dummy ~ support + party, data = mpsupport.df, fun = sum)  ggplot(data = agg)+   geom_bar (aes(y = dummy, x= fct_infreq(party), fill = factor(support, levels = c("fully.agree", "partially.agree", "fully.disagree" ,"partially.disagree"))), stat= "identity") +    coord_flip()+   theme(legend.position = "bottom", legend.title = element_blank())

enter image description here


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