similar to: ggplot2 - facetting

Dear All, I am trying to build a stacked bar plot, where I define the colours to use. I have asked this before, and I was using a solution in http://thread.gmane.org/gmane.comp.lang.r.general/100649/focus=100673 (thanks, Thierry). However, it looks this works only when the data are in the sequence of the levels in the factor defining the fill colours. When the sequence is different, the

Dear R's (most likely Hadley), I want to build a stacked bar plot where I would like to define which colours will be used for each of the groups. However, I do not seem to find a way to do this, even if I've been looking over many places. I have tried several variations, and my final try was this code, but I still do not manage to get the colours as I pre-define. Any hints about how

is it possible to use Effects.Scale to make a set of form input elements appear in a ''slide out'' effect? I''m trying to build a control with a button which, when clicked, will cause a row of form inputs to appear. I can do this with Effects.Appear, but what I really wanted was for the inputs to appear to ''slide out'' from the button. What I

This is really a question of how to program this *BETTER*. It works as I have done it, but is quite ugly. I want to do a 3d scatterplot of the upper triangle of a matrix, where the z-values are the values in the matrix, and the row and column indices are the y- and x-values. The complete (11 by 11) matrix is mmtop94.2. Here is my awkward code: mmtop94.2[lower.tri(mmtop94.2)] <- NA # Here i

Hello Again R Folk: I have found items about this in the archives, but I?m still not getting it right. I want to use ggplot2 with facet_grid inside a function with user specified variables, for instance: p <- ggplot(data, aes_string(x = fac1, y = res)) + facet_grid(. ~ fac2) Where data, fac1, fac2 and res are arguments to the function. I have tried p <- ggplot(data,

I am plotting three Pearson Type IV distributions. It looks like I have to plot the distribution with the highest value of y and then use lines() to add the two distributions that are shorter / have lower max values of y. The following code figures out which distribution has the max y value, plots it first and then uses lines for the other two distributions with a series of three if statements.

Hi, i do have a dataframe representing data from a repeated experiment. PID is a subject identifier, Time are timepoints in an experiment which was repeated twice. For each subject and all three timepoints there are 2 sets of four values. df <- data.frame(PID = c(rep("A", 12), rep("B", 12), rep("C", 12)), Time = rep(c(0, 0, 0, 0, 30, 30, 30,

I''m having an issue with flashing divs in IE (firefox is fine and the only other browser I''ve used) My scenario is as follows. I have 2 divs (initially hidden) and using the BlindDown and BlindUp functions (possibly others) the divs flash when starting to roll down in BlindDown (due to the Element.show call) and also at the end of the BlindUp call (due to the Element.hide call)

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hi, In barplot(height, col = ...), the col = vector recycles so that the same colors are used for each bar. I would like to use different colors in different bars (corresponding to another piece of information, here, the region of the country being represented). For example, x = matrix(c(5,2,3,1),nrow=2) barplot(x,col=1:4) will draw two bars with two segments each, but each colored red and

Hello, is there a way to basically achieve a BlindLeft and BlindRight effect and if yes, how would I do that? Thank you in advance for your help. _________________________________________________________________ Don’t just search. Find. Check out the new MSN Search! http://search.msn.click-url.com/go/onm00200636ave/direct/01/

Hi List, I am running R 2.8.0 on a Windows XP machine, running ggplot2 version 0.8.1 I want to label the bars in a faceted grid barplot. Reproducible R code is given below: #### reproducible facet barplot ##### library(ggplot2) # Dataset from which to create the barplot ml <- rep(1:10,2) vals <- rnorm(20,mean = 10, sd=1) type <- c(rep("MAPE",10),rep("AIC",10))

In lattice #toy data library(ggplot2) library(lattice) x <- rnorm(100) y <- rnorm(100) k <- sample(c("Weak","Strong"),100,replace=T) j <- sample(c("Tall","Short"),100,replace=T) w <- data.frame(x,y,j,k) xyplot(y~x|j+k,scales=list(y=list(relation="free"))) will give you a scale in each subplot with a range equal to the range of y

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 am running the following code: sym <- c(sym1,sym2,sym4) lifedxm <- c("O-BD","O-WELL","O-UNI") life <- c(lifedxm,lifedxm,lifedxm) tp <- c("TP-ANY","TP-ANY", "TP-ANY", "TP-SUB", "TP-SUB", "TP-SUB", "TP-CLIN" , "TP-CLIN", "TP-CLIN") data <-

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,

I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-

Does anyone (Hadley??) know if there's a straightforward way in ggplot2 to get data divided by a single factor to plot as a rectangular grid of subplots? So far I've only been able to get such data plotted as a single row or single column of skinny subplots. The code below gives an example implemented with lattice, and my best attempt in ggplot2 cheers Ben Bolker ------------ g=

Hello, First, ggplot2 is great! Second, sorry for the basic nature of my question. I have data in the form of a melt table like this: Subject Day Ab Variable Value 1 1 Yes A 3 1 3 Yes A 5 1 5 Yes A 7 2 1 No A 2 2 3 No A 4 2 5 No A 6 3 1 Yes A 1 3 3 Yes A 3 3 5 Yes A 5 4 1 No A 4 4 3 No A 6 4 5 No A 8 1 1 Yes B 3 1 3 Yes B 5 1 5 Yes B 7 2 1 No B 2 2 3 No B 4 2 5 No B 6 3 1 Yes B 1 3 3 Yes B 3 3 5

I am trying to use the reshape package for the first time. I have two waves of a survey, so the id variables include a subject identification number and a variable denoting the wave of the survey. I used the following arguments: library(reshape) svy.melt <- melt(svy, id=c("id", "WAVE")) svy.wide <- cast(svy.melt, id ~ WAVE + ...) and got the following error: