similar to: memory problem for scatterplot using ggplot

Can someone help clear up some confusion in reading memory usage in Top and System monitor. Here is a picture of both. http://s1176.photobucket.com/albums/x327/ionosphere2011/ Why does "System Monitor" show 1.7gb free out of 8gb. While Top shows all 8gb being used? If 1.7gb is free then it should not be using swap space so I assume "System Monitor" is reporting it

Hello R users: I am still new to R and have a question that I hope is pretty simple to solve with some additional help. The following code provides some sample data for a scatterplot I am trying to create. As you can see, I am plotting the values using the row names. x.sample <- rnorm(10, 50, 2) y.sample <- rnorm(10, 50, 1) z.names <- 1:10 data.example <- data.frame(x.sample,

Dear useRs, I'm having trouble with what is likely a very simple issue with a simple graph. I have data in the format pasted below - total from which this is a subset is > 3 million rows. I'm plotting "Window" on the x axis, and either of the other two columns on the y axis. In both the second and third columns, the values are in a range from 0 to 1. I want to be able to plot

I'm plotting x and y and there are a couple of outliers. I want to show the value of z for these couple of outliers. Is there an easy way to do this?

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

I am having a problem creating a scatterplot with error bars using gplot. This is only my second day using R so I am very much a newbie. My x-values (OD600) are: 0.00400000 0.01866667 0.04733333 0.08733333 0.22466667 0.42400000 0.82066667 1.39233333 1.61100000 My y-values (cellconc) are: 2e+06 5e+06 1e+07 2e+07 5e+07 1e+08 2e+08 5e+08 1e+09 And my standard deviations (stdev) are: 0.001154701

I have 3 columns of data and want to plot each row as a point in a scatter plot and want one column to be represented as a color gradient (e.g. larger values being more red). Anyone know the command or package for this? Thanks, KB

I am getting the following error: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases when running the command scatterplotMatrix(~THL+WL+BD+TL+Mass|SEX_,by.group=TRUE,plot.points=T,smooth=F,main=spp,) it works fine without the "by group" option I assume there are some cases with too few values, how can I get the loop containing this line to

have a data frame composed of many columns. I would like to hold one column constant and scatter plot it agianst all of the other columns? how do I do this? I have only been able to plot(x) and use indexes to create an entire scatterplot matrix, but not hold one constant. -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do

Estimados: Estoy entrampado con el siguiente problema. Poseo un dataframe (f), con datos x, y, z, los cuales no son coordenadas ni alturas, sino niveles de tres variables cualquiera. Lo que busco es presentar en un gráfico es: a) el scatterplot de las variables ''x'' e ''y'', y además b) las isolineas de ''z'' para los distintos niveles de

Hi my friends, I'm trying to make a scatterplot like this. 1) I have a 3-variable dataset. They are ID, x, and y. 2) "x" is for the X-axis, "y" for the Y-axis, and "ID" is used to label all the cases in the scatterplot. 3) After creating the scatterplot, I need to add both a X-axis reference line and a Y-axis reference line. The X-axis reference line is a

Hi all We are pretty new to R here and trying to achieve something that we believe is possible but it?s not easy to work out how to do it. We are producing scatterplot matrices for e.g. 10 variables. What we would like to do is superimpose 2D kernel density estimators on top of each plot so that we end up with a scatterplot matrix of 2D kernel density (contour) plots. The kernel density plots

> On 27 Nov 2017, at 13:59, Engin YILMAZ <ispanyolcom at gmail.com> wrote: > > Dear Berger and Jim > > Can you see my eviews example in the annex? (scattersample.jpg) > > Sincerely > Engin Please, use an image hosting service (i.e. https://imgbb.com/) to share images in the list and share the link in the email.

If someone is interested in 3D-scatterplots, have a look at http://www.statistik.uni-dortmund.de/leute/ligges.htm Regards, Uwe Ligges -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

In a plot on an X11 device, I'd like to mark a few points with a large thin "crosshairs". By "mark" I mean: draw the crosshair on the plot. The two unsatisfactory methods that I have are: METHOD 1: points( x, y, pch="+" ,cex=2) METHOD 2: line(xa, xb, y0, y0) line(x0, x0, ya, yb) Method #1 produces a crosshair with fat lines. It is not possible

i have two vectors of numbers x and y and of course i can do the standard scatterplot plot(x,y) and it looks fine. But, I was hoping there was a way to do the scatterplot so that each point plotted is a number where the number represents the index in the dataset. so, if it was x[3] and y[3], then the point would be a 3 or if it was x[4] and y[4], then the point would be a 4 etc. i doubt this is

... finding myself doing this by hand one too many times ... maybe someone else has found a nice general solution ... I have a data frame containing n rows on p+q variables which I will call p.1, p2, ..., pp and q1, q2, ... qq. For simplicity all of these variables are continuous numeric. I want to create the following arrangement of plots: A scatterplot matrix which contains p times q panels

Is there a package (other than xgobi which requires an X server) that will do scatterplot brushing? I see a mention in the mail archive of R-orca by Anthony Rossini but it is not in the current list of packages. My OS is Windows XP version 5.1, service pack 2 R version 2.4.1 (2006-12-18) Thanks [[alternative HTML version deleted]]

The scagnostics package implements the graph theoretic scagnostics described by Leland Wilkinson, Anushka Anand and Robert Grossman (http://www.ncdm.uic.edu/publications/files/proc-094.pdf), building on an old idea of Tukey's to define indices of "interestingness" to help guide the search for interesting features in the pair-wise scatterplots of a highly multivariate dataset. The

Is there anyway to produce a 3D scatterplot with error bars in the x,y,z directions? I have searched around and know of scatterplot3d but did not see any way to put error bars on the points. Any ideas?