similar to: ggplot2: specifying legend titles

In the following, can anyone tell me why length(eee) returns 9? I was expecting 15398, and when I try to add this vector to a data frame with that many rows, it fails complaining that the vector is of length 9. In what I thought was an identical situation with a related dataset, the same code worked as expected. > length(fff) [1] 15398 > str(fff) int [1:15398] 20010102 20010102

If I take the following simple data: YEAR MONTH DAY WEIGHT.KG 2003 10 6 1.2 2003 10 12 1.2 2003 10 16 1.3 and format the date data and plot it: dates <- strptime(paste(DAY,MONTH,YEAR),"%d%m%Y") plot(c(min(dates),max(dates)),c(0,max(WEIGHT.KG)), xlab="Date",ylab="Weight (kg)",type="n") lines(dates,WEIGHT.KG) points(dates,WEIGHT.KG) I find that the

What do you prefer/recommend for double-banger function names: 1 scale.colour 2 scale_colour 3 scaleColour 1 is more R-like, but conflicts with S3. 2 is a modern version of number 1, but not many packages use it. Number 3 is more java-like. (I like number 2 best) Any suggestions? Thanks, Hadley

De acuerdo a Bard; ? scale_colour_viridis_d: Esta función utiliza la paleta de colores "viridis" en una escala continua, donde los colores varían de forma suave y continua. Es adecuada para representar datos en los que se desea resaltar las variaciones sutiles en los valores de la variable. ? scale_colour_viridis_c: Esta función también utiliza la paleta de colores

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

I am using Sweave to generate a document in which ggplot2 figures are embedded. I am using the following code in a particular plot within a subfloat environment: <<qplotARbosreg, echo = FALSE, fig = TRUE>>= print(qplot(bosday2, Arday2, data= arbostimearonlyNArm, colour=factor(bos2), shape=factor(bos2), size=factor(cumARscore), position="jitter", main="Days to BOS by

I'm trying to plot multiple lines using different colours/symbols to distinguish them. If I try to plot more than 6 lines, I get an error: > ggplot( dat, aes(x=time,y=value,group=variable,shape=variable) ) + geom_line() Error: scale_shape can deal with a maximum of 6 discrete values, but you have 9. See ?scale_manual for a possible alternative I find this slightly confusing, as

Hi all, I've this ggplot2 graph (http://www.4shared.com/file/120101043/f3e9350/isotherm.html). I'd like to tweak the legend for the adsorbent part. I'd like to have full square of the colors instead of the full circles. I guess that I've to work on the scale_color_hue or fill somewhere but I haven't found my way yet. Here is my code to get the graph:

The graphic design elements in ggplot2 are so well done for color graphics. Thank you! For BW publication graphs, there are a few options I would like to be able to tweak, but can't seem to find the grob handles necessary OR the right plotting strategy. Here's one problem I've been puzzling over: Q> How do you plot points with a grey fill and a black outline around the

#question is below data library(ggplot2) d <- (structure(list(Site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L), .Label =

Hi Group, I posted this question on the ggplot list and was advised to try here also. The code below produces a plot as a png and pdf. The pdf looks great, and I cannot make the png look this way. I've tried various combinations of height, width, and dpi, but it has not worked out so far. Any suggestions to make the png look like the pdf? I received a response that the problem does not occur

I created this graph in ggplot and added ablines to the different facets by specifying with subset commands. As you might see, there are still a few issues. 1.) I would like to have the diamonds in a grey scale instead of colors. I accomplished this (see graph 2) until I overwrote the label title for the treatments and the colors came back (graph 1). I used these two commands: p=ggplot(data =

Hi, Dummy data script and scripts are attached below. I would like to change the plot to look like this:

Given the data structure below and the call to ggplot2, how can I increase the size of the axis scale points, the line weight, and the size of the legend? ddata <-structure(list(year = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2003", "2007"), class = "factor"), area = structure(c(7L, 6L, 1L, 2L, 3L, 4L, 5L, 7L, 6L, 1L,

I'm new to Hmisc and trying to get the following to work, but if I un- comment the y-scale list (in order to get a log-scale for the hazard ratio), the error bars become strangely large. The dataframe is simply ODS output from TPHREG in SAS. Can someone point me towards what I'm sure is a naive error? Many thanks! tphreg1_parameterestimates1987$LCL <-

Hola a todos: Alguién me podría explicar cuales son las diferencias entre las diferentes escalas de viridis en ggplot2, es decir en qué se diferencian scale-colour_viridis_d de scale_colour_viridis_c, scale_colour_viridis_b. Y cual es la diferencia entre scale-fiil-viridis_d de scale-fill_viridis_c y de scale_fill_viridis-b. He estado buscando la diferencia en internet y no he encontrado nada al

Dear all, I know that ggplot2 documentation is coming along, but at the moment I can't find how to do the following: a) change the title of the legend b) get rid of the closing line at the bottom of the density line. I also observed that the density lines (after limiting the x-scale) extend a little bit into the surrounding of the plot, which can be seen very strong when plotted as pdf.

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

is it possible to map 2 plots(c and d) in a single output plot? library(ggplot2) c <- ggplot(mtcars, aes(qsec, wt)) d <- ggplot (mtcars, aes(qsec, wt)) c + stat_smooth(fill="darkgrey", colour="blue", size=2, alpha = 0.2) d + stat_smooth(fill="darkgrey", colour="red", size=2, alpha = 0.2) -- View this message in context:

Hi, I was trying to replicate one of the graphs given on the ggplot2 website. I have given a sample code below. I would like to combine the legends, since each color is uniquely mapped to a shape. ### library(ggplot2) leaves <- letters[1:8] mat <- matrix(sample(1:1000,32),nrow=16,ncol=2) colnames(mat) <- paste('t',1:2,sep='') df <-