similar to: Plotting and Decluttering Text

In <R 1.8.1 the following fragment worked properly, now (1.8.1) it creates the following warning/error: Any advice appreciated. stt <- data.frame() # load all datasets into a dataframe for (ds in 1:n) { stt[ds] <- as.matrix(read.table(fileList[ds])) } -- > stt <- data.frame() > # load all datasets into a dataframe > for (ds in 1:n) { + stt[ds] <-

Is there a list of all contributed R libraries available through CRAN? Ideally it would include a one or two line description. I am looking for a packages() command similar to library() but that would access the CRAN repository and provide a listing of the current libraries, and version. example: http://www.cpan.org/modules/01modules.index.html

I am rendering a plot using boxplot, mtext, abline, etc. The X11 view of the plot looks correct. When I change to the png device to: png(filename="bxplot.png",width=640,height=640) I get half of a character label plotted in the lower left corner in the resulting .png file. The character fragment started to appear in png when I started using mtext.

Hello, I have another question. I would like to plot something within a self written function (plotdensity) called by tapply t <- tapply(mat, classes, plotdensity) Now I would like to add each plot the class/level as title. How can I do this? Antje

Hallo, I have a question to plotDensity and do not understand what stand behind. In a density plot the x-axis is the signal intensity but for what stands than density on the y-axis? Here I have the values 0.00-0.30 Can anyone discribe it by his own words? I do not understand the help. Thanks, Conny --

A sunflowerplot crossing two categorial variables with NAs fails: ### sample: start ### set.seed(20) a <- c(letters[1:4]) z <- c(letters[23:26]) fa <- factor(sample(rep.int(a, 1000), 100, replace=T), levels=a, ordered=T) fz <- factor(sample(rep.int(z, 1000), 100, replace=T), levels=z, ordered=T) sunflowerplot(fa, fz) # okay, but: r <- xyTable(fa, fz) length(r$x)==length(r$y)

I suspect the problem stems from the fact that there are a couple of NA values. > sunflowerplot(lastoto,maxear) Error in rep.int(i.multi, number[number > 1]) : invalid number of copies in rep.int() So I used the subset command to get rid of the cases with NA hell<-subset(ChinOtoMayB,is.na(lastoto)==FALSE) Then it worked perfectly sunflowerplot(hell$lastoto,hell$maxear) Is

I'm having a bit of trouble finding and understanding the correct function to make numeric vectors to feed the sunflowerplot function. I have 33k points to show and I want to do better than the standard scatter plot. I gather that I need two vectors (x and y) of the same count containing the "center" value of each bin. FYI - I have two pieces of data: 1 - x axis - time in days of

On 7/16/2017 9:36 AM, Nada Gh wrote: > Hi, > > I create a plot using sunflowerplot, I need to highlight one point to show > its importance. What suggestion you have to accomplish this? > > Thanks, In general, the way to answer such a question for yourself is to read the documentation for arguments related to observation plot attributes, then, if necessary, read the source

Hello, R-help, does anybody have already a work-around for the problem that the formula version of sunflowerplot() throws an error when provided with a value for xlab (or ylab) different from NULL: > sunflowerplot( Sepal.Length ~ Sepal.Width, data = iris, xlab = "A") Error in model.frame.default(formula = Sepal.Length ~ Sepal.Width, data = iris, : variable lengths differ

Hi all -- So I'm trying to use lattice graphics, but I want to use a sunflower plot, which doesn't seem to be part of lattice. No problem, I put together the following code, which mostly works -- *except* for the first graph it generates. If it opens the graphic device, then it draws the xygrid, clears the device, then draws the sunflowerplot. All subsequent output operations work

Dear fellow R users, I would like to draw a "sunflowerplot" because I have data (decade by month) that plots multiple times on the same x-y co-ordinates. Further I would like to colour each of the points/sunflower leaves on the plot according to the group they belong to (i.e. which type of event each represents within that decade and month). I thought that this would be relatively

Hello, I have some problems with sapply. I wanted to do the following: s <- sapply(filelist, function(x) { if(file.exists(x)) { ... return( list(density(file$V1)$x, density(file$V1)$y)) } else { print(paste("plotDensity ERROR - File does not exist: ",x,sep="")) return( NULL) } }) if(is.null( - ??? - )) { print("no plot") } That

I'm trying to do a sunflowerplot of Galton's data, with both regression lines and data ellipses, and I must be doing something wrong, because the lines do not intersect at \bar{x}, \bar{y}. The problem is likely in the line for x.y, but I don't know how to specify that correctly. The data is read in grouped form( galton), and then ungrouped (galton2): galton <-

Dear R-users, Hereby a polar plot function for plotting angular data. I hope it will be usefull for some of you. I had a need to plot frequencies of wind-directions. The not-that-cheap SigmaPlot software did not allow me to change the orientation of the angular axis to clockwise orientation (what is used for meteorological observations). I even tried the latest version availible at the time

Hi, I use panel.points to add points to a xyplot graphic. But I like to use the sunflowerplot to plot my points because this is very superimposed. It is possible to use this? I try but it dont work directly. It may be need to put this function inside a panel.??? Thanks Ronaldo -- Where there's a will, there's a relative. -- > Prof. Ronaldo Reis J?nior | .''`.

Hi, I create a plot using sunflowerplot, I need to highlight one point to show its importance. What suggestion you have to accomplish this? Thanks, Aden [[alternative HTML version deleted]]

I am doing a principle component analysis on a dataset with a lot of different variables and have constructed a biplot of the data. Unfortunately, as can be seen on the attached image, the biplot is very messy, cluttered, and hard to read. I have performed a few modifications including outlier removal from a few of the variables, which has made the plot better, however it still is too cluttered

Hello, I apologize that this is off-topic. I am seeking information on perception of graphical data, in an effort to improve the plots I produce. Would anyone point me to literature reviews in this area? (Or keywords to try on google?) Is this located somewhere near cognitive science, psychology, human factors research? For example, some specific questions I have are: I recall as a child

In the HistData package, I have a data frame, PearsonLee, containing observations on heights of parent and child, in weighted form: library(HistData) > str(PearsonLee) 'data.frame': 746 obs. of 6 variables: $ child : num 59.5 59.5 59.5 60.5 60.5 61.5 61.5 61.5 61.5 61.5 ... $ parent : num 62.5 63.5 64.5 62.5 66.5 59.5 60.5 62.5 63.5 64.5 ... $ frequency: num 0.5 0.5