How do I plot a vector of y-values in ggplot2?
pValues_Both <- c(0.004079,0.4392,0.6882,0.02053,0.4849,0.4938,0.3379,0.8408,0.07067,0.6603,0.2547,0.8692,0.8946,0.0696,0.6206,0.9559,0.9119,0.5162,0.2469,0.1582)
I have tried the following:
pValues_Both.m <- melt(pValues_Both)
ggplot(pValues_Both.m, aes(y=value)) + geom_bar(stat="identity")
Error in exists(name, envir = env, mode = mode) :
argument "env" is missing, with no default
geom_bar() needs also x values to make the barplot. One workaround would be to provide just sequence of numbers that are the same lenght as value.
ggplot(pValues_Both.m, aes(x=seq_along(value),y=value)) +
geom_bar(stat="identity")
It's also a ggplot qplot 1-liner w/o having to pre-make a data frame (it does it for you), but the same basic principle as Didzis':
qplot(x=1:length(pValues_Both), y=pValues_Both, geom="bar",
stat="identity", xlab="", ylab="", main="pValues_Both")
qplot creates the dataframe for you if not supplied. The plot you want is called a col plot in ggplot, so:
pVals = c(.0041,.4392,.6882,.02053,.4849,.4938,.3379,.8408,.07067,.6603,.2547,.8692,.8946,.0696,.6206,.9559,.9119,.5162,.2469,.1582)
qplot(x = 1:20, y = pVals, geom = "col")
qplot() was deprecated in ggplot2 3.4.0.