similar to: Surface plot for polynomial regression

DeaR list, I'm trying to represent some information via 3D plots. My data and session info are at the end of this message. So far, I have tried scatterplot3d (scatterplot3d), persp3d (rgl), persp (graphics) and scatter3d (Rmcdr) but any of them gave me what I'd like to have as final result (please see [1] for a similar 3D plot changing PF by ypred, pdn by h4 and pup by h11). In general

Hi folks, I'd like to use scatter3d (which is in R commander) to plot more than one dataset in the same graph, each dataset with a different color. The kind of stuff you would do with "holdon" in Matlab. I read a recent message that was posted to this list with a similar problem, but I couldn't understand the reply. Could someone give me one example? How do you plot subgroups

Hi all I am a complete newbie to this list (just subscribed) and a newcomer to R (an S user from olden times). I have been using scatter3d to create a 3d scatter plot with surface. The graphic is created within the rgl package and I have used rgl.postscript to export it so I can generate a publication quality image. My problem is that the plotted surface is no longer transparent in the

Hi everyone, I am fairly new to R, and I am aware that others have had this problem before, but I have failed to solve the problem from previous replies I found in the archives. As this is such a standard procedure in psychological science, there must be an elegant solution to this...I think. I would much appreciate a solution that even I could understand... ;-) Now, I want to calculate a

Hello All, I am a R newbie and am probably misinterpreting something really obvious... In the Rcmdr package there is a scatter3d() function that can fit a curve and also provide coefficients for the model. If I'm understanding this right, I think it's calling the lower level stats package function lm(), which is the part that actually does the curve fitting. Anyway, what has me

I am a new and unexperienced user of R and got so far as to know how to produce boxplots. I have no experience of messing with function code, so presently I do not know how to create a boxplot with group means instead of group medians. If somebody could help me either replace the median with the mean or superimpose the mean onto the existing boxplot, it would be appreciated.

Hello, I'm working with a series (30+) of hydrologic metrics and 10 vegetation communities and I need to determine which of the metrics provide the best separability for each of the vegetation communities. The hydrologic metrics are highly correlated, therefore the need to reduce the number of them considered is critically important. I've been looking at the scatter3d function in the

Dear List, I don't get scatter3d to color the sheres according to the '|' argument. library(car) scatter3d(prestige ~ income + education|type, data=Prestige) The spheres on my screen are all colored the same and they are not conditional on Prestige$type. On the other hand: Fit3d and Ellipse3d are colored according to the group argument. rgl_0.92.879 car_2.0-12 R version 2.15.0

hello, I wish to create some 3d scatter diagrams visualising different grouped data set by a given field in the database. I tried the scatterplot3d package, as well as the plot3d and scatter3d functions (both within the rgl resp. Rcmdr package). My first question is, whether is it possibe to group data in the scatterplot3d and plot3d, because I did not succeed to use the groups = ...

Hi, I am using the scatter3d function in Rcmdr to plot the first 3 principal components, I have a grouping variable of 2 groups, and tried to plot points with different colors, somehow I couldn't change the default colors of the 2 groups (blue and green)by using option points.col=c('red','blue'), what's the problem here? scatter3d(all.pca$x[,2],all.pca$x[,3],all.pca$x[,1],

Dear R users, I'm currently visualizing my data using scatter3d from the "Rcmdr" package. I have data points which can be separated in two classes. Data points from class 'A' should be colourised red and data points in class 'B' should be colourised 'blue'. No matter what I try, the data points are always blue. I attached a (very) minimal example to

Dear All, I?ve been trying to find an option to scatter3D from rcmdr to remove the individual points from the plots but to no help so far. Removing the residuals is easy, but I cannot find a similar point option. Is there such an option that can be set to FALSE? Best, //M

Hi, I have been trying to output my graphs to a file (jpeg, pdf, ps, it doesnt matter) but i cant seem to be able to get it to output. I tried a few things but none of them worked and am lost as what to do now. I am using the scatter3d function, and it prints out the graphs on tot he screen without any problems, but when it comes to writing them to a file i cant make it work. Is there any

How do you remove one of the terms from an ordered polynomial contrast in your linear model. For example, I have significant terms for linear and cubic but not quadratic, how would i remove the quadratic term from lm(response~treatment) Cheers, Chris -- View this message in context: http://www.nabble.com/Orthogonal-polynomial-contrasts-tp16608353p16608353.html Sent from the R help mailing list

> > Message: 6 > Date: Mon, 30 Sep 2013 20:23:16 +0200 > From: David Demelier <demelier.david at gmail.com> > To: freebsd-stable at freebsd.org > Subject: Re: 9.2-PRE: switch off that stupid "Nakatomi Socrates" > Message-ID: <5249C194.8030504 at gmail.com> > Content-Type: text/plain; charset=ISO-8859-1 > > On 30.09.2013 15:50, Matthieu Volat

Greetings, R-help! On 2 Fedora Core 2 Linux systems, i've completely erased the previous R and all packages and then installed R-2.0 and installed fresh packages. In using Rcmdr, I see some trouble and I wonder if other people see this and if it is due to the tcl/tk, or R, or Rcmdr. (If readers have not yet tried Rcmdr, I recommend it not just because of the GUI it provides, but also

Dear all, I have a question regarding the use of stepAIC and polynomial (quadratic to be specific) terms in a binary logistic regression model. I read in McCullagh and Nelder, (1989, p 89) and as far as I remember from my statistics cources, higher-degree polynomial effects should not be included without the main effects. If I understand this correctly, following a stepwise model selection based

Hi Does R have a function or has someone written a function to draw a 3d surface from a scatter plot of values using either ksmooth or locpoly. OR a transform function a that merges x relation z and y relation z to (x,y) relation z? I tried out scatterplot3d but it seems it would take a bit of work to get scatterplot3d to draw a curved surface. Lawrence

Hi All, Does anyone know of a function to plot a regression surface for two predictors? RSiteSearch()s and findFn()s have not turned up what I was looking for. I was thinking something along the lines of: http://mallit.fr.umn.edu/fr5218/reg_refresh/images/fig9.gif I like the rgl package because showing it from different angles is nice for demonstrations. I started to write my own, but it has

Hi, does anyone know which of the scaled or unscaled version of the variance-covariance matrix of regression coefficients (as produced by ls.diag) is the correct one, or when one is better than the other? I am interested in univariate linear regression (lm). Thank you very much. Dipl.-Psych. Johannes Ullrich Philipps-Universit?t Marburg Fachbereich