Starting with ggplot2 2.2.0 you can add a secondary axis like this (taken from the ggplot2 2.2.0 announcement): ggplot(mpg, aes(displ, hwy)) + geom_point() + scale_y_continuous( “mpg (US)”, sec.axis = sec_axis(~ . * 1.20, name = “mpg (UK)”) )
@GavinSimpson: reorder is a powerful and effective solution for this: ggplot(theTable, aes(x=reorder(Position,Position, function(x)-length(x)))) + geom_bar()
Next time please include the head this can be done using head(Store_sales) ProductID category sales product 1 101 Bakery 9468 White bread 2 102 Personal Care 9390 Everday Female deodorant 3 103 Cereal 9372 Weetabix 4 104 Produce 9276 Apple 5 105 Meat 9268 Chicken Breasts 6 106 Bakery 9252 Pankcakes I reproduced relevant fields … Read more
Have a look at scale_color_manual, the examples should be sufficient. The general structure of tweaking any scale in ggplot2 is to use the appropriate scale function: scale_{aes_name}_{scale_type}, where aes_name can be color, x, or any other aeshetic, and where scale_type can be continuous, discrete, manual, etc. Googling for ggplot2 legend position led me to this … Read more
I’ve copied the data from your post above so you can skip the variable assignment library(“tidyverse”) df <- read.table(file = “clipboard”, header = T) %>% as_tibble() You need to modify your data structure slightly before you pass it to ggplot. Get each of your test names into a single variable with tidyr::gather. Then pipe to … Read more