facet-wrap

I have the following code for my ggplot - the facet_wrap function draws out 20 plots on the page for each Name and there are 5 Pcode along the x-axis. I would like to calculate the average TE.Contr for each Name and plot that value as a horizontal line on each of the plots (which are split out by Facet_wrap). Currently my codes plots the average of ALL TE.Contr. values instead of the average TE.Contr. of the specific Name. T<-ggplot(data = UKWinners, aes(x = Pcode, y = TE.Contr., color = Manager)) + geom_point(size =3.5)+ geom_hline(aes(yintercept = mean(TE.Contr.))) T<-T + facet_wrap(~ Name,

Using ggplot, I would like represent a graph tile with panel, but with same height tile for each panel. I have this graph : dataSta <- list(sites=rep(paste("S", 1:31),each=12), month=rep(1:12,31), value=round(runif(31*12, min=0, max=3000)), panel=c(rep("Group 1",16*12),rep("Group 2", 12*12), rep("Group 3", 3*12))) library(ggplot2) library(grid) base_size <- 9 windows() ggplot(data.frame(dataSta), aes(factor(month), sites)) + geom_tile(aes(fill = value), colour = "black")+ facet_wrap(~panel, scale="free_y", nrow=3)+ theme_grey(base_size = base_size) + labs(x = "",y = "") + scale_x_discrete

I'm creating several facetted plots for a report. The number of facets varies between 2 and 8. Ideally, I'd like the absolute size of each facet (across plots) to be the same (e.g. 4x4 cm) so that it is easier to compare them (and it looks nicer, too). Is that possible? df1 <- structure(list(group1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,1L, 1L, 1L, 1L, 1L), .Label = c("S1", "S2"), class = "factor"), group = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("A", "B", "C", "D", "E"), class = "factor"), value = 1:12), class = "data.frame", row.names = c(NA, -12L), .Names =

Is there a way to fill the strips of facets created with facet_wrap based on a variable supplied with the data frame? Example data: MYdata <- data.frame(fruit = rep(c("apple", "orange", "plum", "banana", "pear", "grape")), farm = rep(c(0,1,3,6,9,12), each=6), weight = rnorm(36, 10000, 2500), size=rep(c("small", "large"))) Example plot: p1 = ggplot(data = MYdata, aes(x = farm, y = weight)) + geom_jitter(position = position_jitter(width = 0.3), aes(color = factor(farm)), size = 2.5, alpha = 1) + facet_wrap(~fruit) I know how to change the background color of the strips (e.g. to orange): p1 +

I have this data frame: Date Server FileSystem PercentUsed 1 12/1/2011 A / 60 2 1/2/2012 A /var 50 3 2/1/2012 A tmp 90 4 2/10/2012 A /db 86 5 2/13/2012 A /app 90 6 12/1/2011 B C: 67 7 1/2/2012 B D: 67 8 2/1/2012 B F: 34 9 2/10/2012 B /restore 89 10 2/13/2012 B G: 56 11 12/1/2011 C / 90 12 1/2/2012 C /tmp 78 13 2/1/2012 C /data 67 14 2/10/2012 C /Storage 34 15 2/13/2012 C /database 12 dput(x) structure(list(Date = structure(c(2L, 1L, 3L, 4L, 5L, 2L, 1L, 3L, 4L, 5L, 2L, 1L, 3L, 4L, 5L), .Label = c("1/2/2012", "12/1/2011", "2/1/2012", "2/10/2012", "2/13/2012"), class = "factor"), Server =