I have a database with more than 8000 lines and I would like to create a histogram, but the same does not appear in all lower frequency classes, in the case of the last classes (Image).
I understand that the 15th class disappears because it presents only 1 occurrence, when compared to the 1st class that presents more than 5 thousand.
However, is there any method in r that can make these classes appear in the graphic image?
I would like to make a histogram, with the hist () function, with the same classes, grouped by 10 in 10 as in the image, appearing at least a darker bar in the classes of lesser occurrence (red circle in the image) / p>
Somehistogramdata:
h1[["counts"]]
[1] 5291 1657 728 324 158 69 46 18 8 10 5 6 1 0 1
h1[["breaks"]]
[1] 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160
I tried to increase the number of bars, however when I move the graph to png. some classes disappear or become very small, because I need to plot 5 of these graphs in a png image.
In this configuration:
png(filename = "Figura1.png", width=620, height=1024,
pointsize = 8, bg = "white", res = 120)
par(mfrow = c(5, 1), mar = c(4.5, 5, 1, 1) + 0.05)
Increasing the number of bars:
h0 = hist(x[,1], breaks = seq(min(x[, 1]) - 0.5, max(x[, 1]) + 0.5, by = 0.5))
h0$density = h0$counts/sum(h0$counts)*100
plot(h0, freq = FALSE, main = " ")
