similar to: how to specify ggplot2 facet plot order

Ultimately my aim is to get a plot of density faceted by 2 factors with a horizontal boxplot overlaid on each density plot in the grid to indicate summary stats. So I've been experimenting with creating boxplots and density plots. Here's some representative data. series = c('C2','C4','C8','C10','C15','C20') ids =

Hi I am using the following script to average a set of data 0f 62 columns into 31 colums. The data consists of values of ln(0.01) or -4.60517 instead of NA's. These need to be averaged for each row (i.e 2 values being averaged). What I would I need to change for me to meet the conditions: 1. If each run of the sample has a value, the average is given 2. If only one run of the sample has a

Hi All, I have a dataset with a column named "Condition", Sample Condition 1 c20 2 c20 3 c10 4 c10 5 c9 6 c9 7 c5 8 c5 9 c20 10 c10 Could you let me know the fastest way to change c20->"AA", c20->"BB", c9->"CC", c5->"DD"

hello, i need to calculate ci's for each of 4 groups within a dataset, to be able to infere about differences in the variable "similarity". the problem is that data within groups is dependent, as assigned by the blocking-factor "site". my guess was to use a block bootstrap but samples within in these blocks / sites are not of same length. i was not able to find a method to

hello, i'd appreciate help with my glmer. i have a dependent which is an index (MH.index) ranging from 0-1. this index can also be considered as a propability. as i have a fixed factor (stage) and a nested random factor (site) i tried to model with glmer. i read that it's possible to use a quasibinomial distribution, for this kind of data, which i than actually did - but firstly (1)

hello, i can't figure out how to set position of panels of my stripplot - i`d like the panels of one level of the factor stage (nr. of panels within each stage, A: 12, B: 12, C: 12, D: 4, each panel representing a site) to be in one column, with A to D from left to right and with descending site.nr at each row. like: A1 B1 C1 D1 A2 B2 .. .. A3 .. .. .. how is this achieved? any help

Perdon por no se lo suficientemente claro :( Tu codigo produce `validPairs` que tiene 7 variables y 360 observaciones. Donde > validPairs[1,] V1 V2 V3 V4 V5 V6 valid 60 e1 g1 c1 e1 g1 c2 Valid indica que un maestro tiene asignado c1 y c2 en la escuela e1 y el grado g1. Correcto? Si es asi, esto es casi lo que queira producir y creo que puedo llegar a donde quiero usando tu codigo de base.

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) +

Hi! Is it possible to have different axis limit for each facet in a ggplot2 plot? Here is an example: -------------------------------------------------------------- library(ggplot2) x=seq(-10,10,.1) y=cos(x) z=sin(x)*10 dat=melt(data.frame(x,y,z), id.var="x") qplot( x, value, data=dat, facets=variable~., geom="line" )

just a quick question (to which I suspect the answer is "no"): does anyone know if, in the ggplot2 package, there's a way to override the default names of the facets in facet_wrap (which correspond to the levels of the factor used to facet)? I know that I go back and change the levels of the factor, but it would be convenient to be able to supply a vector of level names at the time

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, I have a ggplot that has the looks of the plot that I want, but it doesn't have the right layout. The data is an ordered melted dataframe: - ID - type (to use for a faced grid) - time - type - time - value (POSIXct) - pos (to use for a faced grid, this is an index to split the plot) The goal of the plot is to create a time line for each ID (different points of time). The ID's

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, is there anyway to adjust how ggplot(facet=) displays the layout of panels? I have a dataset with many 25 groups and gplot(y,x,facet= .~group) displays all 25 y~x plots next to each other so overall the plot is too wide. if i do the same plot in lattice xyploy(y~x|group) the y~x plots are arranged nicely 5 in each row to overall the plots is a nice 5 by 5 rectangular grid. Is there any way

I have the following data: v <- rnorm(13) w <- rnorm(13) x <- rnorm(13) y <- rnorm(13) z <- rnorm(13) Using GGPLOT facet, what I want to do is to create a 5*5 matrix, where each cells plot the correlation between each pair of the above data. E.g. v-v,v-w; v-x,...,z-z What's the way to do it? Attached is the image. GV.

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

How do I change the font size in the facet labels along the edges of the plot? For example (from the ggplot help file): p<-ggplot(tips, sex ~ smoker, aesthetics=list(x=tip/total_bill)) gghistogram(p) In this plot, the facet labels are "smoker: No", "smoker: Yes", "sex: Female", "sex: Male". What command can I use to reduce the font size of

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

Hello All, I am trying to do the comparison of my observed and modeled data sets for two stations. One station is called station "red" and another is called "blue". I was able to create the facets but when I tried to add two series in one facet then only one facet got updated while other didn't. The data watersurf1.csv can be downloaded from

Hello Experts, I found this example on web and use it just for explanation. ( http://stackoverflow.com/questions/15867263/ggplot2-geom-text-with-facet-grid ) library(ggplot2) x <-runif(9, 0, 125) data <-