geom-bar

Currently, I can create a plot such as this: geom_bar ggplot(df.Acc, aes(x = reorder(cities, -accidents), y = accidents)) + geom_bar(stat = "identity", fill="steelblue", alpha=0.75) + geom_hline(yintercept=0, size=0.4, color="black") It's a plot with, let's say, number of bike accidents per year on the y-axis, and the city name would be on the x-axis. I want to add a vertical line to separate all the cities above the 70th percentile and below it. So I've tried with > vlinAcc <- quantile(df.Cities$accidents, .70) > vlinAcc 70% 41.26589 This looks good, all the cities which have value of

I am trying to move the facet strip to the far left of my plot, so that the labels sit adjacent to the bars, and the grouping strips sit to their left (see my example below). I assume this must be done with Grobs, but I have little experience with that level of manipulation and would appreciate guidance. Data: structure(list(dept = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), .Label = c("Distribution Centre Services", "IT", "Marketing", "Merchandise &

I want to create grouped bar plot while keeping order. If it was single column and not a grouped bar plot use of reorder function is obvious. But not sure how to use it on a melted data.frame. Here is the detail explanation with code example: Lets say we have following data.frame: d.nfl <- data.frame(Team1=c("Vikings", "Chicago", "GreenBay", "Detroit"), Win=c(20, 13, 9, 12)) plotting a simple bar plot while flipping it. ggplot(d.nfl, aes(x = Team1, y=Win)) + geom_bar(aes(fill=Team1), stat="identity") + coord_flip() above plot will not have an order and if I want to order the plot by win I can

How do I create a grouped bar chart on R using ggplot2 using this data? Person Cats Dogs Mr. A 3 1 Mr. B 4 2 So that it shows that shows number of pets owned per person, with this layout Bar chart of pets I have a text file with this data and have used read.delim to read the file on R. I have used this code but it does not produce the bar plot I am looking for. ggplot(data=pets, aes(x=Person, y=Cats, fill=Dogs)) + geom_bar(stat="identity", position=position_dodge()) I am new to R, any help would be appreciated. Thanks in advance. To prepare data for grouped bar plot, use melt() function of

I have a faceted bar chart done with ggplot2 with this code: ggplot(data_long, aes(x=region, y=wert)) + geom_bar(aes(fill = kat ), position = "dodge", width=.5, stat="identity") + labs(y = "Wähleranteil [ % ]", x = NULL, fill = NULL) + facet_grid(. ~ type) + theme_bw() + theme( strip.background = element_blank(), panel.grid.major = element_line(colour = "grey80"), panel.border = element_blank(), axis.ticks = element_blank(), panel.grid.minor.x=element_blank(), panel.grid.major.x=element_blank() ) + theme(legend.position="bottom") + guides(fill=guide_legend(nrow=1,byrow=TRUE)) I would like that

I have a question concerning the fill field in geom_bar of the ggplot2 package. I would like to fill my geom_bar with a variable (in the next example the variable is called var_fill ) but order the geom_plot with another variable (called clarity in the example). How can I do that? Thank you very much! The example: rm(list=ls()) set.seed(1) library(dplyr) data_ex <- diamonds %>% group_by(cut, clarity) %>% summarise(count = n()) %>% ungroup() %>% mutate(var_fill= LETTERS[sample.int(3, 40, replace = TRUE)]) head(data_ex) # A tibble: 6 x 4 cut clarity count var_fill <ord> <ord> <int> <chr> 1 Fair

Is it possible to use the stroke argument introduced with ggplot2 2.0 to adjust the thickness of borders around bars? If not, is there a way to control bar-border thickness along the lines of point-border thickness? Stroke applies to borders around certain shapes -- see the second answer A very modest MWE, showing fill only: factor <- c("One", "Two", "Three", "Four") value <- c(1, 2, 3, 4) factor2 <- c("A", "B", "A", "B") df <- data.frame(factor = factor(factor, levels = factor), value = value, factor2 = factor2) ggplot(df, aes(x = factor, y = value, color = factor2)) + geom_bar(stat =