facet-wrap

问题 I am using ggplot and facet_wrap to get the required plots. I have to add few things to the labels of each facet or the variable or the name of each facet, just like how we modify the xlab and ylab directly under ggplot. Example: d <- ggplot(diamonds, aes(carat, price, fill = ..density..)) + xlim(0, 2) + stat_binhex(na.rm = TRUE) + theme(aspect.ratio = 1) d + facet_wrap(~ color) All I want to do now is to change the label of each facet i,e D,E,F,G,H,I,J to something else. How can I modify

问题 I'd like to know if it's possible to annotate p-values at the top of the graph and in between 2 bar plots. In my case, using ggplot2, I have a faceted graph with 2 conditions (Passage and Isolated) and in each condition, there are 3 levels/3 bar graphs (GA, CH, KO). If it's possible, I have some p-values from pairwise comparisons (GA vs CH, CH vs KO, GA vs KO) that I would like to show on the graph itself. My ggplot script is below: #plot dev.new() accentrating_comb <- ggplot(ch_ko_am_comb,

问题 I have hourly timeseries data of three homes( H1, H2, H3 ) for continuous five days created as library(xts) library(ggplot2) set.seed(123) dt <- data.frame(H1 = rnorm(24*5,200,2),H2 = rnorm(24*5,150,2),H3 = rnorm(24*5,50,2)) # hourly data of three homes for 5 days timestamp <- seq(as.POSIXct("2016-01-01"),as.POSIXct("2016-01-05 23:59:59"), by = "hour") # create timestamp dt$timestamp <- timestamp Now I want to plot data homewise in facet form; accordingly I melt dataframe as tempdf <-

问题 I've used R for a while now, and still don't know what I'm doing when it comes to using facet_wrap() . Consider this, for exapmle: ggplot(df, aes(x, y)) + geom_bar(stat = "identity") + facet_wrap(~ z) It works, but whenever I use facet_wrap() I end up just trying different permutations of how its argument should be formatted. This is because I have no idea what ~ or . mean in these arguments. Does anyone have a succinct description of what these things are? 回答1: The facet_grid docs state: a

问题 I am trying to use facet_wrap in ggplot2 to map a different state into each facet of a multi-faceted plot. My code is listed here, where 'dataset' is a data frame containing a variable named 'state', which contains the names of the different states I want mapped by facet. library(maps) library(ggplot2) states <- c('Oklahoma','Arizona','Washington','North Dakota','Michigan','Florida') map <- ggplot(data=datatest) + geom_polygon(data=map_data ('state',region=datatest$state),aes (x=long,y=lat

问题 I would like to modify the breaks and limits of y-axis of each one of the graphs in the facet_wrap. I want for example reduce the breaks for some of them or I want that they start from 0. ggplot(granuControlLw, aes(distance, group=time)) + geom_line(aes(y = D)) + xlab("Distance from the gate (m)") + geom_point(aes(y = D, shape = factor(time)), size=4.5) + theme_bw() + theme(axis.text.x = element_text(size = 15, angle = 90), axis.text.y = element_text(size = 15, angle = 0)) + scale_x

问题 First I'll say that I am just learning ggplot2 and this was code I inherited from someone else. I'm using facet_wrap to create two graphs side by side. I'm then using geom_path to draw a shape in each graph, but I want a different shape in each one. Right now I can only get the same shape in each graph, or both shapes in both graphs. So basically need to do something to one facet but not the other. This is my truncated code: #variables already defined square1 <- data.frame(x=c(left, right,

问题 I'm attempting to plot an overview of interesting segments in different protein sequences faceted by organism. Each facet/organism may contain different numbers of proteins - long black segments. Each protein has a colored overlay of shorter segments of equal length which may overlap - the color signifying the patient group. I first encountered problems with differences in the spacing between the proteins/segments on the y-axes in the different the facets. I managed to solve this with the

问题 I am attempting to shade multiple regions of interest on a scatter plot. Based on this answer, I believe I am forced to leave the intial ggplot() call empty, and supplie the geom_rect() calls before the geom_point() call. I have gotten all of this to work. I can not however apply a facet based on data passed to geom_point() . The following correctly plots my data (scatter plot over red and blue regions of different sizes): ggplot() + geom_rect(aes(xmin=885, xmax=1544, ymin=-Inf, ymax=Inf),

问题 I'm struggling with facet_wrap in R. It should be simple however the facet variable is not being picked up? Here is what I'm running: plot = ggplot(data = item.household.descr.count, mapping = aes(x=item.household.descr.count$freq, y = item.household.descr.count$descr, color = item.household.descr.count$age.cat)) + geom_point() plot = plot + facet_wrap(~ age.cat, ncol = 2) plot I colored the faceting variable to try to help illustrate what is going on. The plot should have only one color in