similar to: ggplot2 example

Hi all, I have managed to create a figure on the screen with multiple plots in it. Something like the example below. When I save that with ggsave(), only the last plot gets saved (pPath in the example) instead of the entire figure. Any suggestions how I can save this kind of figures automated? Thanks, Thierry library(ggplot2) pPoint <- qplot(unemploy/pop, psavert, data=economics) pPath

I have data that plots over time with four different variables. I would like to combine them in one plot using facet_grid, where each variable gets its own sub-plot. The following code resembles my data require(ggplot2) require(reshape2) subm <- melt(economics, id='date', c('psavert','uempmed','unemploy')) mcsm <- melt(data.frame(date=economics$date,

Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is

note: whole function is below- I am sure I am doing something silly. when I use it like USGS(input="precipitation") it is choking on the precip.1 <- subset(DF, precipitation!="NA") b <- ddply(precip.1$precipitation, .(precip.1$gauge_name), cumsum) DF.precip <- precip.1 DF.precip$precipitation <- b$.data part, but runs fine outside of the function: days=7

Hello, I am trying to make a plot using the code below. The plot is divided into two parts, using facet_grid. I would like the vertical axis (labelled 'place') to be different for each location (=part). So in the upper part, only places 'n' through 'z' are shown, while in the lower part, only places 'a' through 'm' are shown. I thought 'free_y'

Buenas tardes Estoy haciendo un análisis LDA y me gustaría cambiar el nombre de los topics a la hora de visualizarlos y en vez de que se llamen 1,2,3...darles un nombre. ¿Es posible en este código? lda22 <- LDA(reviews_dtm, k = 22, control = list(seed = 1234)) lda22 %>% tidy() %>% group_by(topic) %>% top_n(10, beta) %>% ungroup() %>% mutate(term =

OK, so maybe last night was a little too much at one throw, so I have reduced the data to two stations- one that has precipitation and one that does not. This is going to be in the context of a larger data set. I would like to be able to issue a ggplot command and have cum sum just act on the facets (factors) to apply this. library(chron) library(ggplot2) DF <- structure(list(date_time =

Hi list, I have a data set - something like this dfr <- data.frame(A=factor(letters[1:25]),B=runif(25), C=sample(LETTERS[1:4],25,replace=TRUE)) and I want to create a dotplot: library(lattice)dotplot(A ~ B | C, data=dfr, scales=list(y=list(relation="free"))) but this puts uneven spaces along the y-axis in each panel. drop.unused.levels=TRUE will drop conditioning

Faceting in ggplot2 seems to permit different scales for different facets, but I fail to see how one could control ylim and xlim ranges for each facet separately. For instance, I would like to set the ylim = c(0,10) for facet "A" and ylim = c(42,102) for facet "B". Since the data is out of these ranges, setting facet_grid(factor ~ ., scales = "free_y") does not

Hi, i get no success change the title of the "fill" (colour) legend and the defintion of "levels". Have anybody a hint how i can do this. df <- data.frame(variable=sample(c("A","B","C"),1000,replace=T,prob=c(0.22,0.28,0.5)),group=gl(2,500)) p <- ggplot(df, aes(x = variable)) p + geom_histogram(aes(y= ..count.. /

Dear Colleagues, In the following simple ggplot2 code: -------------------------------- m <- ggplot(d.fig, aes(time, prob)) m + stat_summary(fun.data = "median_hilow", conf.int = .95, geom = "smooth") + facet_wrap(~ Cohort, nrow=1) + coord_cartesian(ylim = c(0, .03)) -------------------------------- Is there a way to replace the y-axis label from "prob" to

You can save as png like this too: library(ggplot2) data=data.frame( ? X=sample(10,1000,replace=T) ? , Y=letters[1:10]) png("mypng.png") qplot(X, data=data, geom='histogram') + facet_wrap( ~ Y) dev.off() ? Felipe D. Carrillo Supervisory Fishery Biologist Department of the Interior US Fish & Wildlife Service California, USA ----- Original Message ---- > From: Peng Yu

Hi: I am using Sweave and texi2dvi to generate a LaTeX document but can't find the way to hide the graphics while the R chunks are being executed. I thought results=hide would do it but that't not the case. If I do: \begin{figure}[h] <<figA=true,echo=F,fig=T,results=hide>>= a < rnorm(1000) plot(a) @ \caption{Weekly estimates.} \label{figure:ggplot1} \end{figure} The

Hi all, I have been hunting around for hours trying to figure out how to generate a stacked line chart using ggplot2. This type of chart can be generated in excel 2007 by selecting: Chart type > Line > Stacked line. I can generate a stacked area chart using the following code: p <- ggplot2(~, aes(x = ~, y = ~, colour = Type)) + geom_area(aes(position = 'stack', fill = Type))

I just updated to R 2.14 with ggplot2 0.9 and am finding bugs. > ggplot2 "GPL-2" "2.14.0" This example is taken from pg 101 in the ggplot book. > plot <- qplot(date, psavert, data = economics, geom = "line") + > ylab("Personal savings rate") + geom_hline(xintercept = 0, colour = > "grey50")' > plot +

In page http://had.co.nz/ggplot2/scale_date.html , there is a time series plot for multiple variables at the bottom. i.e qplot(date, value, data = em, geom = "line", group = variable) + + facet_grid(variable ~ ., scale = "free_y") How can I make different color for different series? Thanks -- View this message in context:

I am trying to plot this dataset using ggplot2: df <- data.frame( sid = c(rep('11',30),rep('22',30)), time = rep(ISOdate(year = 2010, month = 1, day = 1:30),2), sales = c(rnorm(30, 1000, 20),rnorm(30, 900, 10)), price = c(rnorm(30, 2, 0.5),rnorm(30, 3,0.5)) ) Plotting just the sales can be done easily: ggplot(data=df, aes(x=time, y=sales, group=sid, color=sid)) +

I am using ggplot and posted this question at that helplist. It was suggested that I try a more general R-help list for a possible solution to this problem. Within ggplot, I am using geom_area with red and blue and expect where they overlap should be purple. But instead, it's dark red. Playing with alpha and with different colors doesn't seem to solve the problem. Here's a very

I have a data frame (attached) that has interpolated EOT errors for each minute before flight landing. It also has the runway and an index for the flight: > > times[1:4,] time error runway flight 1 0 -0.02206235 04R 1 2 1 -0.07961631 04R 1 3 2 -0.13795380 04R 1 4 3 -0.20726073 04R 1 > > sapply(times, class) time error

Hello, I asked a similar question before but in an existing thread. I am not sure if it is proper etiquette to repost a similar question as a new tread, I think in this case, it might be because this way more people can see it and perhaps learn from it. (Also, part of the existing thread became private) I want to know how to plot multiple ggplot area plots on top of one another so that the same