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Home/ Questions/Q 9184077
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Editorial Team
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Editorial Team
Asked: June 17, 20262026-06-17T18:57:28+00:00 2026-06-17T18:57:28+00:00

I’m using R to generate a plot from a table. I used the command

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I’m using R to generate a plot from a table.

I used the command a <- read.table("table.txt") and that worked fine. When I type “a” it prints out my full table correctly.

I also entered library(ggplot2) so I could use ggplot.

Here was my first command:

ggplot(a, aes(x=V2, y=V5, group=V7)) + 
   geom_point(size=4, aes(col=V7)) + xlab("Rank") + 
   ylab("Inter-helix angle (Degree)") + 
   opts(legend.position="none") 

this command generated all the points, but when I added xlim(0,110) + ylim(0,110) to the end, it gave me a warning and said “Removed 101 Rows containing missing values” (my table is 101 rows long). The plot that was generated was completely empty. What happened?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-17T18:57:29+00:00Added an answer on June 17, 2026 at 6:57 pm

    I’m guessing perhaps your data falls out of the ranges you have specified in xlim and ylim e.g.:

     library(ggplot2)
     df <- data.frame(x=1:10,y=1:10)
     ggplot(a, aes(x=x, y=y)) + 
     geom_point(size=4) + xlab("Rank") + 
     ylab("Inter-helix angle (Degree)")
    

    works fine, but:

     ggplot(df, aes(x=x, y=y)) + 
     geom_point(size=4) + xlab("Rank") + 
     ylab("Inter-helix angle (Degree)") + xlim(0,0.1) + ylim(0,0.1)
    

    gives the same error as you get because no values fall between 0 and 0.1

    Warning message:
    Removed 10 rows containing missing values (geom_point).

    Although without your data this is just the most likely answer. By the way in general folk tend to use coord_cartesian:

    ggplot(df, aes(x=x, y=y)) + 
     geom_point(size=4) + xlab("Rank") + 
     ylab("Inter-helix angle (Degree)") + coord_cartesian(xlim=c(0,0.1)) + 
    coord_cartesian(ylim=c(0,0.1))
    
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