I have a dataframe which has two different sample types (A and B). I would like to differentiate these by using different shape
options. Here is a dataframe and my current attempt at performing this.
output of dput(head(df))
structure(list(Mean.Count = c(30404.8407153174, 15689.4221807262, 30404.8407153174, 15689.4221807262),
Log2FC = c(-0.00357013689574257, -0.00417251481039714, 0.306809506669248, 0.224653107007472),
Adj.P.Value = c(0.988865360408676, 0.981816989495127, 0.00202882891738576,
2.72576774009609e-05),
TimeKD = c("A", "A", "B", "B"),
Gene = c("HSPA5","MYH9", "HSPA5", "MYH9")),
row.names = c("HSPA5", "MYH9", "HSPA51", "MYH91"),
class = "data.frame")
Current attempt
ggplot(df, aes(x = Gene, y = Log2FC, group=TimeKD)) +
geom_point(aes(color = -Adj.P.Value, size = Mean.Count), alpha = 0.5)+
coord_flip() +
scale_colour_gradientn(
colours = grDevices::colorRampPalette(c("black", "cyan", "violet"))(n = 200),
values = NULL,
space = "Lab",
na.value = "grey50",
guide = "colourbar",
aesthetics = "colour"
)
Currently both A and B samples are circles. Can I use ggplot2
to change one of them into another shape?
Any help would be appreciated.