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This should be a simple question... I'm just trying to make a barplot from a vector in R, but want the values to be shown on a log scale, with y-axis tick marks and labelling. I can make the normal barplot just fine, but when I try to use log or labelling, things go south.
Here is my current code:
samples <- c(10,2,5,1,2,2,10,20,150,23,250,2,1,500)
barplot(samples)
Ok, this works. Then I try to use the log="" function defined in the barplot manual, and it never works. Here are some stupid attempts I have tried:
barplot(samples, log="yes")
barplot(samples, log="TRUE")
barplot(log=samples)
Can someone please help me out here? Also, the labelling would be great too. Thanks!
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To change the axis scales on a plot in base R Language, we can use the xlim() and ylim() functions. The xlim() and ylim() functions are convenience functions that set the limit of the x-axis and y-axis respectively.
This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set log2 or log10 axis scale. An other possibility is the function scale_x_log10() and scale_y_log10(), which transform, respectively, the x and y axis scales into a log scale: base 10.
Barplots in R programming language can be created using the barplot() method. It takes as input a matrix or vector of values. The bar heights are equivalent to the values contained in the vector.
The log argument wants a one- or two-character string specifying which axes should be logarithmic. No, it doesn't make any sense for the x-axis of a barplot to be logarithmic, but this is a generic mechanism used by all of "base" graphics - see ?plot.default for details.
So what you want is
barplot(samples, log="y")
I can't help you with tick marks and labeling, I'm afraid, I threw over base graphics for ggplot years ago and never looked back.
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