Reputation: 55
I want x- axis from 1 to 20 and y-axis from 1 to 6. My data:
structure(list(HEI.ID = structure(c(12L, 9L, 14L, 19L, 20L, 1L,
7L, 5L, 11L, 3L, 10L, 18L, 2L, 8L, 6L, 15L, 13L, 17L, 4L, 16L
), .Label = c("BF", "CC", "DC", "ER", "IM", "MC", "ME ",
"MM", "MO", "OC", "OM", "OP", "SB", "SD", "SH", "SL", "SN", "TH",
"UN", "WS"), class = "factor"), X2007 = c(18L, 14L, 15L, 20L,
12L, 6L, 17L, 2L, 4L, 11L, 16L, 1L, 9L, 8L, 13L, 4L, 10L, 6L,
3L, 19L), X2008 = c(20L, 9L, 16L, 18L, 8L, 17L, 15L, 6L, 3L,
14L, 19L, 1L, 2L, 12L, 5L, 13L, 11L, 7L, 4L, 10L), X2009 = c(20L,
13L, 17L, 8L, 4L, 9L, 19L, 12L, 2L, 11L, 16L, 1L, 2L, 7L, 6L,
18L, 5L, 15L, 9L, 14L), X2010 = c(20L, 13L, 16L, 13L, 7L, 15L,
19L, 8L, 3L, 9L, 18L, 1L, 5L, 11L, 12L, 6L, 10L, 4L, 2L, 17L),
X2011 = c(20L, 2L, 16L, 14L, 6L, 10L, 17L, 8L, 3L, 15L, 19L,
1L, 4L, 18L, 13L, 11L, 8L, 12L, 4L, 7L), X2012 = c(20L, 12L,
19L, 13L, 8L, 14L, 15L, 10L, 11L, 9L, 17L, 2L, 7L, 18L, 5L,
16L, 3L, 4L, 6L, 1L)), .Names = c("HEI.ID", "X2007", "X2008",
"X2009", "X2010", "X2011", "X2012"), row.names = c(NA, -20L), class = "data.frame")
I use the following commands to draw histograms:
par(mfrow = c(3,4))
for(i in 1:20){
print(i)
hist(as.numeric(HEIrank11[i,-1]),nclass=12,,main='students/faculty',
xlab = STOF[i,1],cex.lab=1, cex.axis=1, cex.main=1, cex.sub=1)
}
But after using above commands, I get different number in x- axis and y-axis.
Upvotes: 0
Views: 847
Reputation: 13382
You could use xlim
and ylim
parameters in the hist
function and control the axes using
axis
:
par(mfrow = c(3,4))
for(i in 1:12){
print(i)
hist(as.numeric(HEIrank11[i,-1]),nclass=12,,main='students/faculty',
xlim=c(0, 21), ylim=c(0,6), xaxt='n', yaxt='n')
axis(1, at=c(0, 10, 20))
axis(2, at=0:6)
}
Do you really want your y-axis to go from 1 to 6? This will cut off parts of the bars. Also, you iterate over all 20 rows for a grid with 12 plots. The code above gives the following plot:
Upvotes: 0
Reputation: 5856
I don't understand what your plot would looks like. It's not clear from your question and data provided.
I've tried to plot it. Please comment if you think it's the way to go.
Considering dt
is your data.frame
library(reshape)
dt <- melt(dt)
library(ggplot2)
ggplot(aes(x=HEI.ID, y = value, fill = variable), data = dt) +
geom_bar(stat = 'identity')
or
ggplot(aes(x=HEI.ID, y = value, fill = variable), data = dt1) +
geom_bar(stat = 'identity') +
facet_grid(variable ~.)
Upvotes: 1