similar to: Automaticall adjust axis scales

Hi, I finally came up with a nice colored matrixplot, using the color2D.matplot function of the plotrix package. But I can't assign xtics and ytics to this plot. I made sure that the matrix has correct colnames() and rownames(). Here's what I do: a=matrix(1:16, 4, 4) colnames(a) <- c("X1", "X2", "X3", X4) rownames(a) <- c("Y1",

Hi all, I would like to ask your help to add a color band (Ι am not sure regarding the right term, this color band at the right of the plot "describing" values with their corresponding color. For now I have only this code test<-matrix(data=runif(10000),nrow=100) plot(test,axes="FALSE") axis(1,at=c(0,1),labels=c("a","b")) # but  I would like to add

Hello I'm plotting some data using matplot with a logarithmic scale on the y-axis. This is the call to matplot I'm using: matplot(turns, distances, type = "l", log = "y", lty = "solid", ylab = "", xlab = "Time steps", col = c("black")) The values for the 'distances' vector are always between 0 and 1. The

How do a plot several columns of a matrix at once in a single plot versus a single x-variable? The default plot.matrix or plot.dataframe commands plot each column versus each other column in several sub-plots. I want to plot each column versus a single other vector (x) as several lines or points in one plot. I can do it by hand: get the range of all variables (i.e. columns of the matrix or

Hi all,I had a question last week on asking for a function that will help me draw three different circles on x,y,z axis based on polar coordinates (Each X,Y,Z circle are coming from three independent measurements of 1-360 polar coordinates). It turned out that there ?is no such function in R and thus I am trying to write my own piece of code that hopefully I will be able to share. I have spent

Dear all, I have a function that for a variable number of inputs plots them to the same plot I am doing this quite simply by plot(seq(from=start, to=stop, length.out=np), datalist[[1]]$dataset                                                                  xlim=c(start, stop), ylim=c(0, 1), type="l")                                                                                      

Hello -- I am plotting multiple densities in a single plot. If the max of a new density (added with 'lines()') is sufficiently larger than that of the one first plotted (using 'plot()'), the new density is cut or trucated off of the figure. Is there a simple way of adjusting the yscale after all lines have been added? Or is the procedure to be used to first estimate all

Dear all I am trying to make a graphic with the "vioplot" package. I use the following code: library(vioplot) x1 <- GSMrxDL x2 <- WIFI x3 <- UMT vioplot(x1, x2, x3, ylim=c(0, 10), names=c("GSMrxDL", "WIFI", "UMT"), col="gold") title("NIS Strahlung", xlab="Sender", ylab="V/m") Now I want to scale the y-axis

Please look at what I see in your code below (run-on code mush) to understand part of why it is important for you to send your email as plain text as the Posting Guide indicates. You might find [1] helpful. [1] https://wiki.openstack.org/wiki/MailingListEtiquette -- Sent from my phone. Please excuse my brevity. On June 25, 2017 2:42:26 PM EDT, Alaios via R-help <r-help at r-project.org>

Dear all I am using color2D.maplot to map some matrixes to plot. everything works fine. It seems that when my matrix contains only the same value color2D.maplot returns the following error: color2D.matplot(estimatedsr,redrange=c(0,1),greenrange=c(0,.5),bluerange=c(0,.5),xlab="x",ylab="y",main=sprintf('Estimated'),show.legend=TRUE,show.values=TRUE) Error in rgb(reds,

Hello, I'm pretty new to R. Basically, how do I speed up the for loop below. Or better yet, get rid of the for loop all together. objective: plot two data sets column against column by index. These data sets have alot NA's. Some columns are all NA's. I need the plots to overlay. I don't like the plots in matplot(). Needs to be much faster than the code below... #simple sample

Hi, This is my first post; I'm new to R but am a senior statistical programmer. I have done a lot of graphs using SAS Graph but now am trying to transition to using graphs in R. I'm trying to produce a graph where the colors have three categories- ideally I would like them to be Green for good, Yellow for Questionable, and Red for bad. So I tried to do this in GGPLOT; here is my code:

Dear all, I would like to task you if you know a rle version that can work also in a non consecutive way too. B.R Alex [[alternative HTML version deleted]]

Hi all, I am having 4 vectors like Data: num [1:4, 1:32] -82.8 -81.8 -75.5 -107.6 -87.6 ...  and I want to calculate the correlation between those. Is there a graphical way in R to plot the correlations or not? I would like to thank you in advance for your help Regards Alex [[alternative HTML version deleted]]

Dear all, I would like to tell plot to limit the plotted area into values (for the x axis) that are from X1 to X2. I have tried to use xlim=c(X1,X2) inside plot.. but unfortunately this does only change the labeling of the xaxis and not the values plotted there. How I can do that in R? B.R Alex [[alternative HTML version deleted]]

Hi, May be this helps (Assuming that there are only '0's and '1's in the dataset) dat1<-read.table(text=" ??????? ID X0 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 1?? 5184??? 0??? 0??? 0??? 0??? 0?? 0?? 0??? 0??? 0??? 1???? 0????? 0????? 0????? 0????? 0????? 0 2?? 6884??? 0??? 0??? 1??? 0??? 0?? 1?? 0??? 0??? 0??? 0???? 0????? 0????? 0????? 0????? 0????? 0 3?

Hi, I'm stuck with parsing data into R for heatmap representation. The data looks like: 1 id1 x1 x2 x3 .... x20 2 id1 x1 x2 x3 .... x20 3 id1 x1 x2 x3 .... x20 4 id1 x1 x2 x3 .... x20 ......... 348 id2 x1 x2 x3 .... x20 349 id2 x1 x2 x3 .... x20 350 id2 x1 x2 x3 .... x20 351 id2 x1 x2 x3 .... x20 ......... The data is sorted for the IDs (id1,id2 .....id40) and I like to

Hello all, I'm trying to plot the effects of variables estimated by a regression model fit individually, and for categorical predictors, the independent variable shows up on the y-axis, with the dependent variable on the x-axis. Is there a way to prevent this reversal? Sample code with dummy data: # make dummy data set.seed(1) x1 <- runif(200) x2 <- sample(c(1,2),200, TRUE) x3 <-

Hello, I have a big data frame where consecutive time dates and corresponding observed values for each subject (ID) are on a line. I want to compute the linear slope for each subject. I would like to use apply but I do not know how to express the corresponding function. An example using a loop follows # # create dummy data set There are missing values a <- c(1,2,3,4, 1,1,1,1, 2,2,3,3,

Dear I try to realize one scatter matrix which draws *one single variable to all variables* with *regression line* . You can see my eviews version in the annex . How can I draw this graph with R studio? Sincerely Engin YILMAZ