search for: geom_rect

Hi R fans, As a newbie following the five-hour rule (after hitting my head against the wall for five hours, post to this list), I am appealing for some help understanding geom_rect() in ggplot2. What I want to do is very simple. I want to generate a plot of rectangles. Each one represents a business cycle. The x-values will be pairs representing the start and end of each cycle. The y-values represent the duration of the cycle (in months). In other words, all rectangles h...

Hi, I want to plot grouped bars to compare 95% confidence interval estimates from two models. Each bar represents a 95% confidence interval estimate of a coefficient from one of the two models. Each group represents confidence interval estimates of the same coefficient from the two models. I think such a bar plot will nicely present whether 95% confidence interval estimates of the same

...L, 244158L, 243971L, 249932L, 254622L, 263114L, 274370L, 282955L, 282352L, 278092L)), .Names = c("year", "federal.ps"), class = "data.frame", row.names = c(NA, -13L)) p <- ggplot(fcs, aes(year, federal.ps )) + geom_line() p + geom_rect(data=rect, aes(xmin=xmin, xmax = xmax, ymin=-Inf, ymax = Inf), fill='red', alpha=0.2) ##=============End Code========================== sessionInfo() R version 2.15.3 (2013-03-01) Platform: i686-pc-linux-gnu (32-bit) locale: [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C...

...--------------------------------------------- # Example adapted from the help page of "geom_segment" library(ggplot2) library(grid) d <- data.frame(x1=-135.3, x2=-158.3, y1=37.2, y2=45.2) p <- ggplot(seals, aes(x = long, y = lat)) p1 <- ggplot() + coord_cartesian() + geom_rect(data=d, mapping=aes(xmin=x1, xmax=x2, ymin=y1, ymax=y2), fill="red", color="red", alpha=0.5) + geom_segment(data=seals, aes(x = long, y = lat, xend = long + delta_long, yend = lat + delta_lat), arrow = arrow(length = unit(0.2,"cm"))) p2 <- ggplot() + coo...

...gplot (ie add text to line charts, highlighted boxes etc). By and large, I can get close to what i want with base graphics, but would ideally like to use ggplot whenever possible (additionally, i would like to add text labels automatically to the chart). The code is below I suspect I need to use geom_rect, but what is foxing me is how to set up the aes() parameters. I'd be very grateful for any help thanks simeon ################### require(zoo) require(chron) vix <-read.csv(" http://www.cboe.com/publish/ScheduledTask/MktData/datahouse/vixcurrent.csv", header=T,s...

...+ geom_hline(yintercept = seq(245, 305, 10), linetype=2, colour="#E1EBFF")+ geom_vline(xintercept = seq(1, 33, 2.5), linetype=1, colour="#E1EBFF")+ geom_vline(xintercept = -2, linetype=1, colour="white")+ geom_vline(xintercept = k, colour="#0000FF20", lwd=5)+ geom_rect(xmin=-2,xmax=-1, mapping=aes(NULL, NULL, ymin=inicio[3:4],ymax=fin[3:4], fill=Niveles[3:4]), alpha=1, data=niveles)+ geom_text(data=niveles, aes(x=-1.4, y=inicio[3:4]+(fin[3:4]-inicio[3:4])/2, label=Niveles[3:4], size=2)) + scale_x_discrete(labels=Jurisdiction)+ scale_y_continuous(breaks=seq(245,...

Dear list, I wish to plot chromatin precipitation data: I would like to have a rectangles (x:end-start, y:peak) but I do not have an idea how to define x (in terms of qplot syntax) and to choose the correct geom. mydata is a subset of a larger file. > mydata chrom start end peak 1 chr11 5291000 5291926 8 2 chr11 10988025 10988526 7 3 chr11 11767950 11768676 8 4

...configurations. One example is the ggbio package in Bioconductor, which currently emits these warnings when its namespace is loaded: ---------------------- library(ggbio) Loading required package: ggplot2 Attaching package: ‘ggbio’ The following object(s) are masked from ‘package:ggplot2’: geom_rect, geom_segment, stat_identity, xlim Warning messages: 1: found methods to import for function ‘append’ but not the generic itself 2: found methods to import for function ‘as.factor’ but not the generic itself 3: found methods to import for function ‘as.list’ but not the generic itself 4: found meth...

Dear r-help mailing list, this seems stupid, but I actually don't find the solution: if I have a vector of numbers x of length n, ranging, say, from -3 to 4, if I do barplot (x) all the values below 0 go downwards, and all the positive values go upward. How can I make them all begin from the minimum pointing upwards? Thanks! Gabriele Zoppoli, MD Ph.D. Fellow, Experimental and Clinical

...fixes to full names * aesthetics: corrected list of aesthetics to include american spelling of colour as well as base R abbreviations * aesthetics: fix bug in detecting which aesthetics are calculated * aes_string treats NULL as "NULL" * annotate now works with missing x and y (e.g. for geom_rect) * continuous scale limits now automatically sorted * coord_polar: fix bug if breaks not all inside limits * facet_wrap: can now specify both ncol and nrow without getting an error * facet_wrap: now works with statistics that produce both x and y values (e.g. stat_qq) * fullseq now adds additiona...

...fixes to full names * aesthetics: corrected list of aesthetics to include american spelling of colour as well as base R abbreviations * aesthetics: fix bug in detecting which aesthetics are calculated * aes_string treats NULL as "NULL" * annotate now works with missing x and y (e.g. for geom_rect) * continuous scale limits now automatically sorted * coord_polar: fix bug if breaks not all inside limits * facet_wrap: can now specify both ncol and nrow without getting an error * facet_wrap: now works with statistics that produce both x and y values (e.g. stat_qq) * fullseq now adds additiona...

...+ geom_hline(yintercept = seq(245, 305, 10), linetype=2, colour="#E1EBFF")+ geom_vline(xintercept = seq(1, 26, 2.5), linetype=1, colour="#E1EBFF")+ geom_vline(xintercept = -2, linetype=1, colour="white")+ geom_vline(xintercept = k, colour="#0000FF20", lwd=5)+ geom_rect(xmin=-2,xmax=-1, mapping=aes(NULL, NULL, ymin=inicio[3:4],ymax=fin[3:4], fill=Niveles[3:4]), alpha=1, data=niveles)+ geom_text(data=niveles, aes(x=-1.4, y=inicio[3:4]+(fin[3:4]-inicio[3:4])/2, label=Niveles[3:4], size=2)) + scale_x_discrete(labels=tabla$Country)+ scale_y_continuous(breaks=seq(2...

Dear useRs, I have the following data "z" of two variables "x"(z[,1]) and "y"(z[,2]). > dput(z) structure(c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66,

...gsave now recognises the .svg extension and will produce svg files, if possible * ggsave: default dpi changed to 300, on the assumption that you are saving the plot for printing * qplot: uses facet_wrap if formula looks like ~ a + b (as opposed to a ~ b) Aesthetic tweaks * geom_bar, geom_polygon, geom_rect, ...: default fill colour is now much closer to black to match the defaults in other geoms (point, line, etc) * geom_line, geom_path, geom_segment: lines have squared ends * geom_point, geom_pointrange and geom_boxplot: now use shape = 16 instead of 19. This shape does not have a border from R 2.8...

...gsave now recognises the .svg extension and will produce svg files, if possible * ggsave: default dpi changed to 300, on the assumption that you are saving the plot for printing * qplot: uses facet_wrap if formula looks like ~ a + b (as opposed to a ~ b) Aesthetic tweaks * geom_bar, geom_polygon, geom_rect, ...: default fill colour is now much closer to black to match the defaults in other geoms (point, line, etc) * geom_line, geom_path, geom_segment: lines have squared ends * geom_point, geom_pointrange and geom_boxplot: now use shape = 16 instead of 19. This shape does not have a border from R 2.8...

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data