Created
December 13, 2013 20:59
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Bar graphs of counts. Stacked bar charts to compare their factor-fill in ggplot2.
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## simplest case of counts-based bar graph | |
gpb <- ggplot(dfstr, aes(x=factor(age))) | |
gpb + geom_bar(stat="bin") | |
## add bar fill by another factor: add fill aes | |
gpb <- ggplot(dfstr, aes(x=factor(age), fill=factor(gender))) | |
gpb + geom_bar(stat="bin") | |
## when bar composition comes from different dataframe columns | |
gp <- ggplot(dfnum) | |
bar.width <- 0.5 | |
gp <- gp + geom_bar(aes(x=factor("dairy"), | |
fill=factor(org.shopper.dairy)), width=bar.width) | |
gp <- gp + geom_bar(aes(x=factor("produce"), | |
fill=factor(org.shopper.produce)), width=bar.width) | |
## adjust legends: http://www.cookbook-r.com/Graphs/Legends_(ggplot2)/ | |
gp <- gp + labs(x="type of food") | |
gp <- gp + scale_fill_discrete(name="product\n choice", | |
breaks=c("0","0.5","1"), | |
labels=c("conv","org.domestic","org.import")) | |
print(gp) | |
## when composition is from the same column, | |
## but another column separates bars | |
p <- ggplot(data=df, aes(x=factor(1), y=Summary, fill = factor(response))) | |
p <- p + geom_bar(width=1) + facet_grid(facets=. ~ gender) | |
p |
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