r - Scatter plot that shows all points with the same value -


how create scatter plot in r points shown there though have same values in categories. besides data points, have average values in each category.

for example, if have data set of 2 variables 1 of them (cotton weight percentage) factor:

dat <- structure(list(`tensile strength` = c(12l, 19l, 17l, 7l, 25l,  7l, 14l, 12l, 18l, 22l, 18l, 7l, 18l, 18l, 15l, 10l, 11l, 19l,  11l, 19l, 15l, 19l, 11l, 23l, 9l), `cotton weight percent` = c(20l,  30l, 20l, 35l, 30l, 15l, 25l, 20l, 25l, 30l, 20l, 15l, 25l, 20l,  15l, 35l, 35l, 25l, 15l, 25l, 35l, 30l, 35l, 30l, 15l)), .names = c("tensile strength",  "cotton weight percent"), class = "data.frame", row.names = c(na,  -25l))

how can make scatter plot one:enter image description here

here, solid dots individual observations , open circles average observed tensile strengths.

this can done in ggplot2 geom_jitter , stat_summary. specifically, geom_jitter give black points on graph:

library(ggplot2) ggplot(mtcars, aes(factor(cyl), mpg)) +     geom_jitter(position = position_jitter(width = .1)) p

(the "jitter" add noise in terms of x-axis, occurs in example).

then stat_summary layer lets add point average of each x value (which i've made large , red):

ggplot(mtcars, aes(factor(cyl), mpg)) +     geom_jitter(position = position_jitter(width = .1)) +     stat_summary(fun.y = "mean", geom = "point", color = "red", size = 3)

enter image description here


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