R plot: size and resolution

Question

I have stacked into the question: I need to plot the image with DPI=1200 and specific print size.

By default the png looks ok...

png("test.png",width=3.25,height=3.25,units="in",res=1200) par(mar=c(5,5,2,2),xaxs = "i",yaxs = "i",cex.axis=1.3,cex.lab=1.4) plot(perf,avg="vertical",spread.estimate="stddev",col="black",lty=3, lwd=3) dev.off() 

But when I apply this code, the image became really terrible it's not scaling (fit) to the size that is needed. What did I miss? How to "fit" the image to the plot?

,

Answer 1

A reproducible example:

the_plot <- function() {   x <- seq(0, 1, length.out = 100)   y <- pbeta(x, 1, 10)   plot(     x,     y,     xlab = "False Positive Rate",     ylab = "Average true positive rate",     type = "l"   ) } 

James's suggestion of using pointsize, in combination with the various cex parameters, can produce reasonable results.

png(   "test.png",   width     = 3.25,   height    = 3.25,   units     = "in",   res       = 1200,   pointsize = 4 ) par(   mar      = c(5, 5, 2, 2),   xaxs     = "i",   yaxs     = "i",   cex.axis = 2,   cex.lab  = 2 ) the_plot() dev.off() 

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Of course the better solution is to abandon this fiddling with base graphics and use a system that will handle the resolution scaling for you. For example,

library(ggplot2)  ggplot_alternative <- function() {   the_data <- data.frame(     x <- seq(0, 1, length.out = 100),     y = pbeta(x, 1, 10)   )  ggplot(the_data, aes(x, y)) +     geom_line() +     xlab("False Positive Rate") +     ylab("Average true positive rate") +     coord_cartesian(0:1, 0:1) }  ggsave(   "ggtest.png",   ggplot_alternative(),   width = 3.25,   height = 3.25,   dpi = 1200 )