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This is the data from my csv file:

Tx, Varx, Scale, Val1, Val2 A, VAR1, 5, 516, 2 A, VAR1, 10, 447.4, 5 A, VAR1, 15, 294, 8 A, VAR1, 20, 217.2, 12 A, VAR2, 5, 675.4, 4 A, VAR2, 10, 423.2, 9 A, VAR2, 15, 276, 12 A, VAR2, 20, 200, 15 B, VAR1, 5, 624, 6 B, VAR1, 10, 465.2, 13 B, VAR1, 15, 315.2, 16 B, VAR1, 20, 234.8, 18 B, VAR2, 5, 518.8, 8 B, VAR2, 10, 443, 17 B, VAR2, 15, 278.4, 20 B, VAR2, 20, 217.8, 24

I want to plot lines (not only points) to distingish between Varx and Tx values. I'm trying to plot with this code:

data_table = read.csv("PATH/file.csv",check.names=FALSE,header=T,sep=",") data_table$NScale <- as.numeric(as.character((data_table$Scale))) ggplot(data_table, aes(x=NScale, y=Val2, colour=Tx, shape=Varx, linetype=Varx, group=Tx)) + geom_point()

enter image description here

When I try to plot lines for joining blue triangules, red triangules, red circles, blue circles, using geom_line(), geom_path() an error message is displayed:

Error: geom_path: If you are using dotted or dashed lines, colour, size and linetype must be constant over the line

How I can create the lines grouping by shape and color? I've tried several ways, but still do not get it. What is the problem?

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1 Answer 1

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You should try to make a new "grouping" variable and separate how you do the plot for the "points" and the "line".

I've done this here using dplyr but you could do it using base R as well:

library(dplyr) data_table <- data_table %>% rowwise() %>% mutate(TxVarxgroup = paste0(Tx, Varx, collapse="")) ggplot(data_table) + geom_point(aes(x=NScale, y=Val2, colour=Tx, shape=Varx)) + geom_line(aes(x=NScale, y=Val2, group=TxVarxgroup))

enter image description here

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3 Comments

Thanks a lot. Your answer was very helpful. Actually I'm using geom_line(aes(x=NScale, y=Val2, colour=Tx, shape=Varx, linetype=Varx))
Just an FYI, geom_line doesn't understand the shape aesthetic so it doesn't actually do anything :P
Right! geom_line(aes(x=NScale, y=Val2, colour=Tx, linetype=Varx)) Thanks!

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