Bar graph - Manual grouping of data

Question

Good morning guys. I’m trying to make a bar graph with ggplot(), but I’m having a hard time with one detail.

Basically I would like to manually group the data that gets inserted inside each bin of my histogram.

I would like the bars to stand for intervals that I determine. EX instead of appearing the number 2, 4, 6 below a bar, I would like it to appear [2 to 4), [4 to 6), [6 to 8). as in the figure below:

This is the code so far:

insira o código aqui
p8 <- ggplot(TGL_Filtered , aes(x = TP)) +
geom_histogram(aes(y = ..count..), binwidth = 2.5,
             colour = barlines, fill = barfill) +
scale_x_continuous(name = "Tp (s)",
                 breaks = seq(0, 25, 5),
                 limits=c(0,25)) +
scale_y_continuous(name = "Porcentagem %") +
ggtitle("Período de Pico") +
theme_bw() +
theme(axis.line = element_line(size=1, colour = "black"),
    panel.grid.major = element_line(colour = "#d3d3d3",linetype = "dashed"),
    panel.grid.minor = element_blank(),
    panel.border = element_blank(), panel.background = element_blank(),
    plot.title = element_text(size = 14, family = "Tahoma", face = "bold"),
    text=element_text(family="Tahoma"),
    axis.text.x=element_text(colour="black", size = 9),
    axis.text.y=element_text(colour="black", size = 9))

p8

Answer 1

In the ggplot2 for you to define the category in which bar charts will be made you need to provide a categorical variable. You can create this categorical variable manually using the command cut and then use it to create your chart:

library(ggplot2)
data("diamonds")
diamonds$bins <- cut(diamonds$x, breaks = c(3, 4, 5, 6, 7, 8, 9, 10))
ggplot(data = diamonds) +
  aes(x = bins, weight = carat) +
  geom_bar(fill = '#fcbba1') +
  theme_bw()

the result obtained shall be as follows::