similar to: qplot and colors (Please Help)

Hello, I am trying to plot means and standard errors conditioned by a factor, using qplot. I am successful at getting the bar graph I want with a error bar, however I have tried many things and cannot get the bars to change colors. Currently showing as red and blue, but need it to be black and white for publication. Any suggestions please? Using a data set June, which is str:

Hello, I am a new r-user, and after a great effort I have made this fantastic figure with qplot: qplot(ROI, CBF, fill=factor(Carrier), data=combinedboxplot_dataset_se_1_CBF, geom="boxplot", position="dodge",xlab=NULL,ylab=("CBF,white matter-normalized"),main=("Differences between carriers and non-carriers on baseline"))+theme_bw() Can anyone help me

I have dose response data I have analyzed with the 'drc' package. Using plot() works great. I want to arrange my plots and source data on a single page. I think 'gridExtra' is the usual package for this. I could use plot() and par(mfrow=...), but then I can't put the source data table on the page. gridExtra provides grid.table() which makes nice graphical tables. It

On Fri, 18 May 2018, Ed Siefker wrote: > I have dose response data I have analyzed with the 'drc' package. > Using plot() works great. I want to arrange my plots and source > data on a single page. I think 'gridExtra' is the usual package for > this. > > I could use plot() and par(mfrow=...), but then I can't put the source > data table on the page. >

Hello, I have two data frames, X and Y, with two columns each and different numbers of rows. # creation of data frame X Loc1.alleles <- c(1,5,6,7,8) Loc1.Freq <- c(0.35, 0.15, 0.05, 0.10, 0.35) Loc1 <- cbind( Loc1.alleles,Loc1.Freq) X <- data.frame(Loc1) #creation of data frame Y Loc2.alleles <- c(1,4,6,8) Loc2.Freq <- c(0.35, 0.35,

Hi, I'm using the gridExtra package to combine some graphs like in the arrangeGrob example. Each of the graphs has a title but they appear much larger than the overall combined plot title and left axis label. Does anyone know how I can control the style / size of the gridExtra labels? library(gridExtra) library(ggplot2) dsamp <- diamonds[sample(nrow(diamonds), 1000), ] p1 <-

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

library(ggplot2) a<- read.table("data", header=T) b = na.omit(a) ggplot(data=b) + geom_line(aes(x=timepoint, y=value,group=sample, colour= factor(sample))) +? geom_point(aes(x=timepoint, y=value, group=s ample)) + facet_wrap(~bio, scales = "free",ncol = 5) +theme_bw() + opts(legend.direction = "horizontal",??? legend.position = "top",????

Hi, I have a qplot like the one in the minimal example below, except I also have faceting like this: qplot(jitter(Goodall),jitter(Better.adapt),colour=Second.adapt,facets=~Pol,data=d1) and with the real data I get quite a lot of overplotting, so I would like to add an alpha channel. In addition, I would like to be able to control which colors are used for each value of Second.adapt (which

Hi, I have the following data: > est sch190 sch107 sch290 sch256 sch287 sch130 sch139 4.16656026 2.64306071 4.22579866 6.12024789 4.49624748 11.12799127 1.17353917 sch140 sch282 sch161 sch193 sch156 sch288 sch352 3.48197696 -0.29659410 -1.99194986 10.23489859 7.77342138 6.77624539 9.66795001 sch368

Dear List, I just googled to find out if notched box plots are possible with ggplot2, but couldn't find a answer to it. boxplot() has the option: notch = TRUE, e.g.: boxplot(mpg$hwy, notch=TRUE) My example code (taken from the net) is: require(ggplot2) qplot(class, hwy, fill=factor(year), data=mpg, geom="boxplot", position="dodge")+theme_bw() Thank you for you help!

Hello all, I'm stuck with a strange issue with writing jpegs of plots to a folder in a loop. This works: for (step in 1:length(steps)) { jpeg(filename=paste("frame_",sprintf("%05d",step),".jpg",sep="")) plot(steps[[step]]) dev.off() } But if I use qplot to generate the plot (which is my aim): for (step in 1:length(steps)) {

Hello, I created several plot with ggplot2 dev mode. Now I want to combine the plots in a grid e.g. 2x2 with a fixed size of the output. What I am doing at the moment is: grid.newpage() pushViewport(viewport(layout = grid.layout(nrow=2, ncol=2, widths = unit(c(7.5,6.5), "cm"), heights = unit(rep(5, 2), "cm")))) print(plot1, vp = viewport(layout.pos.row = 1,

I get the following error when I run qplot() qplot(grade, read,data = hhm.long.m, geom = c("point", "smooth")) Error in smooth.construct.cr.smooth.spec(object, data, knots) : x has insufficient unique values to support 10 knots: reduce k. I am not sure how to tackle this problem. When I take a subsample (< 1000) than I am able to run that function but with my sample

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

Hello, this following code give a nice png: /library(ggplot2) i <- 1 png(file=paste('test ',i,'.png',sep='')) qplot(carat, data=diamonds, fill=color,geom='histogram')+scale_y_continuous(i) dev.off() / I would like to get more files, but the following code doesn't make any file: /library(ggplot2) for (i in 1:2) { png(file=paste('test

I know this is not reproducible, but I don't want to clog up mail boxes with the data frame. I would be happy to send this off list. I am sure that I am missing something simple. The plotting works if I just paste the call to qplot into R and replace the [i] with a number. Thanks for all of your help in advance. #loop to spit out PDFs list.names <-

I am trying to create plots within a for loop and output them to a pdf. Here is a working example using plot: gg <- data.frame(datadate=1:4, spread=5:8) pdf() for (i in 1:3) { plot(gg$datadate, gg$spread, main=i) } dev.off() I am trying to learn more about ggplot2 so I try a slight modification and it doesn't work. Anyone