similar to: gplot problems with faceting

Dear R_Users, I am confronted to a technical issue that I wouldn't even know how to start to handle and where to look at. It is about data manipulation in a dataframe and value substitution Imagine I have a matrix describing a set of chemical equations. Colnames are Components names and Rownames are Reaction names Each cell in that matrix corresponds to the stoechiometric coefficient to the

Dear all, It seems to be a recurrent problem to me and I am asking your help to get over it once for all ... My idea is : I have variables C_1, C_2, C_3 ... that corresponds to vectors of size n, and I would like to cbind them. I get a vector of their names using : temp<- ls(pat="C") And I like to find a way to use this vector temp as an argument to cbind.

Dear R users, I am trying to connect R to data that is in a Access Database but I have problem with the construction of queries using special characters. I am using RODBC package. The following is working : > MyQuery<-paste("SELECT first( (DateHeure) ) , avg(NNO3_AT322_OUT_moy) AS Cond FROM Colonne_3 ") > Col3<-sqlQuery(con, query=MyQuery) > Col3

Hi, I've run into a difficulty with qplot function (in the ggplot2 package). I can facet histograms even when the faceting variable contains missing values, but only so long as the faceting variable is not a factor. Example: y1 <- rnorm(10) x1 <- c(rep(1,5), rep(2,4), NA) x2 <- factor(c(rep(1,5), rep(2,4), NA)) library(ggplot2) qplot(y1, geom = "histogram", facets =

Hi, I've been involved in developing a fairly complex site at http://tilt.ft.com recently, and have acquired an unhealthy interest in faceting. I couldn't find any good non-academic guides to faceting strategy on the web, so I thought I'd have a stab at writing one. I'm not completely happy with it, but it's been sitting in my drafts for long enough that I thought it

I would like to be able to do the xyplot in ggplot below. I read in the archive that Hadley was working on this for the next release, and I can not find the documentation (Aug. 23rd). River.Mile <- c(215 ,202, 198, 190, 185, 179, 148, 119, 61) Cu <- rnorm(9) Fe <- rnorm(9) Mg <- rnorm(9) Ti <- rnorm(9) Ir <- rnorm(9) r <- data.frame(River.Mile, Cu, Fe, Mg, Ti, Ir) z <-

Have been working recently on a site that classifies posts using tags in taxonomies, so a post about the Oil spill in the Gulf of Mexico might be tagged 'Subscribers only' (access level), 'Barack Obama' (person), 'Tony Hayward' (person), 'BP' (company), 'Transocean' (company), 'Gulf of Mexico' (location). With some advice from Richard Boulton I

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

I have created a graph with basic R plot with 2 rows and 3 columns. With the basic plot feature of R I had to write several lines of code to come up with the graph https://www.dropbox.com/s/f7d6ei6krtcrtti/hello.png I was wondering whether we can plot multiple series in each plot using ggplot as created in the above link. If anyone could give me any suggestion then I could try on ggplot. I

Hi everyone (again), before you all start screaming that the reordering of factors has been discusse on several threads and is not particular to ggplot2, hear me out. I can easily reorder my x-axis factor in facet.grid() in ggplot2. What I cannot reorder are the factors represented on the strips. I can see that the graphs are changing, so I am afraid of what it is I am doing. Why is ggplot2

Hello Again... I?m making a faceted plot of a response on two categorical variables using ggplot2 and having troubles with the coloring. Here is a sample that produces the desired plot: compareCats <- function(data, res, fac1, fac2, colors) { require(ggplot2) p <- ggplot(data, aes(fac1, res)) + facet_grid(. ~ fac2) jit <- position_jitter(width = 0.1) p <- p +

I have to confess that I did not know about facets before reading Ashley Moran''s post: http://aviewfromafar.net/2007/10/21/quick-and-dirty-facets-in-rspec-trunk Not knowing about the facets solution, I made a couple of feature requests for nested describes: http://rubyforge.org/tracker/index.php?func=detail&aid=14980&group_id=797&atid=3152

I'm running into some problems with the spacing of some faceted ggplot plots. I have a number of time series faceted to be one above another, but the scale labels of the y axes all clobber each other at the bottom/top of each. for example, try: qplot(x, y, data = data.frame(x = 1:10, y = 1:10, size = 1:10), facets = size ~ ., size = size) + scale_x_continuous(breaks = 1:10) +

Dear List I am trying to draw a heatmap using ggplot2. In this heatmap I have faceted my data by 'infection' of which I have four. These four infections break down into two types and I would like to reorder the 'infection' column of my data to reflect this. Toy example below: library(ggplot2) # test data for ggplot reordering genes <- (rep (c(rep('a',4),

Dear All, After having overcome the issue of legends (thanks, Thierry, once more), I am trying to use facetting, but here also I can not find how to do this. I do not want to use qplot, but rather the more flexible options. However, it seems I am doing still something pretty stupid, because I always get an error, even if it seems I am doing everything like the examples. My code is below.

Hi R-helpers! Here is my problem: I have a graph with 3 different facets where there are 3 different regression line. My goal is to mention separately in each facet each equation that describes my lines. So far, I managed to add a line and the same equation to all my facets but that's not unfortunately what I want. Is there a way to do that? Any suggestion would be gladly welcome! Thanks

Dear R Community: Recently, I have managed to plot some really useful graphs of my research data using persp(). I have even figured out how to overplot rectangular regions (corresponding to submatrices) with a different color. This is accomplished by using par(new=T). I am now searching for a way to "highlight" a set of (possibly non-contiguous) facets with a specific color,

1. How do I perform filter by facets using the C++ api? 2. Has anyone ported xapian to objective C thanks Amish -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xapian.org/pipermail/xapian-devel/attachments/20120423/1d1c58dd/attachment.html>

Hello, I'd like to produce a ggplot where the order of factors within facets is based on the average of another variable. Here's a reproducible example. My problem is that the factors are ordered similarly in both facets. I would like to have, within each facet of `f1', boxplots for 'x' within each factor `f2', where the boxplots are ordered based on the average of x

Hi, new to R and ggplot2. I've been trying to get a facet plot in which the order of the facets is as I require, rather than ordered numerically, alphabetically, by Roman numerals, mean (answers to these were posted here after much searching). Here's some test code to demonstrate what I get. series = c('C2','C4','C8','C10','C15','C20') ids =