Error in plot.new() : figure margins too large, Scatter plot

Question

I\'ve looked in different questions for a solution and I\'ve tried what was suggested but I have not found a solution to make it work.

Everytime I want to run this c

Answer 1

If you get this message in RStudio, clicking the 'broomstick' figure "Clear All Plots" in Plots tab and try plot() again.

Moreover Execute the command

graphics.off()

Answer 2

Just a side-note. Sometimes this "margin" error occurs because you want to save a high-resolution figure (eg. dpi = 300 or res = 300) in R.
In this case, what you need to do is to specify the width and height. (Btw, ggsave() doesn't require this.)

This causes the margin error:

# eg. for tiff()
par(mar=c(1,1,1,1))
tiff(filename =  "qq.tiff",
     res = 300,                                                 # the margin error.
     compression = c( "lzw") )
# qq plot for genome wide association study (just an example)
qqman::qq(df$rawp, main = "Q-Q plot of GWAS p-values", cex = .3)
dev.off()

This will fix the margin error:

# eg. for tiff()
par(mar=c(1,1,1,1))
tiff(filename =  "qq.tiff",
     res = 300,                                                 # the margin error.
     width = 5, height = 4, units = 'in',                       # fixed
     compression = c( "lzw") )
# qq plot for genome wide association study (just an example)
qqman::qq(df$rawp, main = "Q-Q plot of GWAS p-values", cex = .3)
dev.off()

Answer 3

Just clear the plots and try executing the code again...It worked for me

Answer 4

Every time you are creating plots you might get this error - "Error in plot.new() : figure margins too large". To avoid such errors you can first check par("mar") output. You should be getting:

[1] 5.1 4.1 4.1 2.1

To change that write:

par(mar=c(1,1,1,1))

This should rectify the error. Or else you can change the values accordingly.

Hope this works for you.

Answer 5

Invoking dev.off() to make RStudio open up a new graphics device with default settings worked for me. HTH.

Answer 6

Just run graphics.off() before plotting your data. This instruction solved my error. So, it's harmless to try it before taking a more complex solution.