similar to: Additional points to scatter plot show up at wrong place

[Please CC me on replies, as I am not subscribed.] Dear R folks, Accessing the *R Developer Page* [1], the browser (Firefox) shows an HTTPS warning. The reason is the embedded Google logo. > Gemischte (unsichere) Anzeige-Inhalte von "http://www.google.com/logos/Logo_40wht.gif" werden auf einer sicheren Seite geladen Could you change that to an HTTPS link please? ``` $ curl -I

Hi, In the example dataset below - how can I cahnge "gray20", to "blue" # data black <- rep(c("black","red"),10) gray <- rep(c("gray10","gray20"),10) black_gray <- data.frame(black,gray) # none of this desperate things works # replace(black_gray$gray, gray=="gray20","red") #

My code is the following: point_type<-c("black","gray20","red"....) ... for (i in 1:dim(m)[1]) { par(pch=(18+i)) par(fg=point_type[i]) plot(m[i,], type='b', ylim = c(lower, upper), type = "l", ...) par(new=T) } Now I need to add an 'explanation' to each pch. I would have a box in the upperright

Dear R I recently did a scatterplot matrix using the following command pairs(sleep[c("SlowSleep", "ParaSleep", "logbw", "logbrw", "loglife", "loggest")],col=1+as.integer(ParaSleep > 5.5 | SlowSleep > 15.7)) this highlighted outlying points for some of the x,y plots that I needed to identify. Unfortunately this highlights all the x,y

Hello, I have a data set with 15 variables, and use "pairs" to plot the scatterplot of this data set. Then I want to plot some circles on the small pictures with high correlation(e.g. > 0.9). First, I use "cor" to obtain the corresponding correlation matrix (x) for this scatterplot. Second, use "seq(along = x)[x > 0.9]" to find the positions of the small

Hi, Could anyone give suggestions how to plot a scatter plot with 1 standard deviation for each point. To make it clearer, here is a simple example: the scatterplot is plot(X, Y), but I want to add 1 standard deviation according to the value of Z for each Y. X Y Z 1 3.5 1.1 . . . . . . . . . Thanks a lot in advance. FD [[alternative HTML

Hello, I apologize for the post as I am certainly overlooking a simple solution to my difficulties with getting a legend to print on a survplot from the rms package. I am plotting the following: survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T, col='gray10', lty=2) survplot(survest(fit), n.risk=F, conf='none', add=T) survplot(survest(fitb), n.risk=F,

How can perform logarithmic binning in the scatterplot? I could only take the log of the variables and plot them, but I am sure that is not the way. I have a very huge data, and would want to plot those high density scatterplots and code then with different colors for the bins/density. -- View this message in context:

Hello R usuer, The code given below superimposes a pie diagram on another plot containing some points. However, I would like to center the pie diagram on the xy location on the plot, but not on the center. is there any way to re-center pic diagram. Any suggestion or better alternative are highly appreciated. Thank you in advance for your help. Regards, Bibke library(visualFields) library(car)

Dear all, I created a bivariate normal distribution: set.seed(138813) n<-100 x<-rnorm(n); y<-rnorm(n) and plotted a scatterplot of it: plot(x,y) Now I'd like to add the 2D-standard deviation. I found a thread regarding plotting arbitrary confidence boundaries from Pascal H?nggi http://www.mail-archive.com/r-help at r-project.org/msg24013.html which cites the even older thread

Dear R graphics gurus, Another question about lattice graphics. This time I would like to plot means and confidence intervals by group factor in a lattice graph. I can not find any working lattice examples. Maybe a custom panel function is the answer, but that is a bit beyond me for now. The individual plots within the lattice graph could look like this: # Example with confidence intervals

Note: I have posted this on SO also but while the question has been upvoted, there has been no answer yet. https://stackoverflow.com/questions/46622243/ggplot-plot-2d-probability-density-function-on-top-of-points-on-ggplot Apologies for those who have seen it there also but I thought that this list of experts may have someone who knows the answer. I have the following example code:

Hello everyone, This is my first post to the mailing list, so I hope I am posting my message the correct way. I am trying to present my dataset in a 3d scatterplot using cloud() in the {lattice} package. I hope to explicitly identify a subset of my observations. The observations in this subset need to satisfy the following critera (values on x,y, and z axes above a certain cutoff value). It

Dear all, I was trying to rotate a plot using R. I tried most of the examples offered here in this forum, but for some reason it is not working for a Scatterplot or in my case: plot (x,y). With a histogram I had no problems. Is it not possible to rotate a simple plot? Thanks a lot, Michael [[alternative HTML version deleted]]

>library(RODBC) >ch<- odbcConnect("durga") > sqlQuery(ch, paste("SELECT * from emp")) >sqlQuery(ch, ("SELECT * from xyz")) store revenue year_y 1 bigbazar 787875 2008 2 more 87876 2008 plot(revenue ~ year_y, data=xyz, pch=16) can i get any diffrent types of graphs like pie charts, bar

Hello R-help, I have a data.frame where I want to scatterplot variable1 versus variable2 using a third variable as a factor. For each factor I want to have a regression line in the same plot with different color and symbols. Var1, and var2 contain a lot of NA,sometimes the dependent var sometimes the predictor, sometimes both together. Three problems occure: Makeing subsets to split the data

Command I am using for the plot: plot(Raw[][Plate==101]~well[][Plate==101], xlab="Well", ylab="Raw", main="Plate 101") I only want to label points on the graph where well equals B13, G13, K14 and N14 with the name of the well. Thank you for your help. -- View this message in context:

I make plenty of scatterplots, especially using scatterplot.matrix from library(car). One thing I don't know how to do is determine which points are plotted last. Sometimes I plot a large number of points for multiple groups represented by different colors. I would like to guarantee that point that are far from the centroid for their group are plotted last. This way they will be

Hi, I am no expert on ggplot2 and I do not know the answer to your question. I looked around a bit but could not find an answer right away. But one possibility could be, if a direct approach is not possible, to draw ellipses corresponding to the confidence regions of the multivariate t density and use geom_polygon to draw this successively? I will wait for a couple of days to see if there is a

https://bugs.freedesktop.org/show_bug.cgi?id=106080 Bug ID: 106080 Summary: Time-out in `nvkm_fifo_chan_child_fini()` Product: xorg Version: git Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau Assignee: nouveau at