similar to: plotting smoother function on raw data

Thank you for your replies so far. Sorry for bothering you again, but I'm still not able to get what I need as I don't understand all parts of the replies (just using R for easy things....). Is there a code for plane3d() like some of you sent me for points3d()? I was not able to get that out of the scatterplot3d package... What I can do is to get the x,y and z-range for the xlim,ylim and

Hi, I have a data set with two continous variables that I want to plot MEANS (I am not intrerested in median values) on a double-y graph. I also have 2 factors. I want the factor combinations plotted in different panes. Dummy dataset: mydata <- data.frame(factor1 = factor(rep(LETTERS[1:3], each = 40)), factor2 = factor(rep(c(1:4), each = 10)), y1 =

Hi everyone (again), before you all start screaming that the reordering of factors has been discusse on several threads and is not particular to ggplot2, hear me out. I can easily reorder my x-axis factor in facet.grid() in ggplot2. What I cannot reorder are the factors represented on the strips. I can see that the graphs are changing, so I am afraid of what it is I am doing. Why is ggplot2

Hi, I have had some troubles using doubleYScale. No matter what I try, I cant manage to change the color of the y-axis in the end. I have to produce a black and white plot. There is also something I do not understand regarding fontfamilyj="serif" when using it in: strip=strip.custom() Maybe someone has a better idea for defining which line and dots belong to which y-axis when not using

Hi, Dummy data script and scripts are attached below. I would like to change the plot to look like this:

Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #

Hi, I have confirmed temporal correlation problems in my data. Is there a possibility to use corCompSymm for a gamm()? I am an R-beginner. I have very short time series. There are three years and within each year, there are 10 weeks. he 10 weeks are the same every year and have not unique values, I seem not to be able to use AR-1 (I assume that I have too little data for autoregression

I am currently working on surface plots (with R 2.0.1) and I want to improve the aspect of them. Having a typical 'cow-boy hat' surface [source: Spector (1994), p. 206]: pts <- seq(from = -8, to = 8, length = 50) cow <- function(x, y) { z <- sqrt(x^2+y^2) sin(z)/z } out <- outer(pts, pts, cow) sur <- persp(x=pts, y=pts, z=out, theta=45, phi=30) What I exactly wanted is:

Hi, I'm new to R (and math ;) Would somebody please be so kind as to direct me in plotting a 3D sphere? I tried something in the lines of: #### y <- x <- seq(-pi, pi, length=pi*10) f <- function(x,y) { z <- sqrt(pi - x^2 - y^2) #z[is.na(z)] <- 0 z } z <- outer(x, y, f) persp(x, y, z, theta = 120, phi = 30) #### I've also tried: .... make.surface.grid(...) ..

Hello R-help! I am trying to draw series of lines in 3d, and I am not sure how to get the depth set up properly - lines that are in front of other lines appear to be behind and vice versa. I've been doing this by first generating an empty persp plot, then adding lines via the data into trans3d followed by lines (this is probably a bad approach, but it was the first one I could get working).

Hi folks, I'm experiencing some hassle to add some text on a persp plot... Here is the code to generate the persp plot: x <- seq(-1.95, 1.95, length = 30) y <- seq(-1.95, 1.95, length = 30) z <- outer(x, y, function(a,b) a*b^2) persp(x, y, z,xlim=c(-2,2),ylim=c(-2,2),zlim=c(-8,8), phi=30, theta=-30,nticks=8,ticktype="detailed") I've tried the text() function :

This is a follow up to my question from yesterday. I want to do in R what is called a "3d scatter plot with drop lines" in S-PLUS. Basically, it's a 3dscatterplot with lines connecting the x-y grid to the z points. The lines give a better perspective on the shape of the data surface. How to? Joel Bremson UC Davis Statistics

Hi everyone, I ran a binomial GAM consisting of a tensor product of two continuous variables, a continuous parametric term and crossed random intercepts on a data set with 13,042 rows. When trying to plot the tensor product with vis.gam(), I get the following error message: Error in persp.default(m1, m2, z, col = col, zlim = c(min.z, max.z), xlab = view[1], : invalid 'z' limits In

Dear R users, I would like to plot the bivariate density surface with its marginal densities on the sides of the 3D box, just like in the picture I attach. I tried to found information about how to do it but did not find anything. Does anyone know how to do it? Thanks in advance, Eduardo.

Hi all In two days, I am giving a small, informal workshop in our Department about using R. Initially, it was just for statistician, but surprisingly (to me anyhow) many mathematicians are also coming who have a MATLAB background. They are coming at the Workshop from a teaching perspective. They are considering using R to avoid licensing issues with MATLAB. One thing they were hoping me to

Hi, I want to plot means with standard deviations of Total Nitrogen (TN) across 4 stations (S1-S4) and over 3 years (2007-2009). I want this plot in one panel. I do not want medians (bwplot, boxplot). I have tried a few different packages and it seems that ggplots with plotmeans was the fastest (I am not extremely skilled in writing my own scripts). Unfortunately, there is no grouping

Hola a todos, No he podido encontrar la solución para el siguiente error al instalar el paquete dplR: > install.packages("dplR") Installing package into ‘/home/milagros/R/x86_64-pc-linux-gnu-library/3.1’ (as ‘lib’ is unspecified) also installing the dependency ‘gmp’ probando la URL ' http://r.mirror.mendoza-conicet.gob.ar/src/contrib/gmp_0.5-11.tar.gz' Content type

Buenos días: Creo un data.frame del siguiente modo: d<-data.frame(a=c("112.45º", "23,56º"), b=c("112.45\u00b0", "23.56\u00b0")) > d         a       b 1 112.45º 112.45° 2  23,56º  23.56° Como podéis ver, para la primera columna vuelco el grado directamente, y para la segunda utilizo \u00b0, que es lo que debo perseguir. Ahora obtengo d2 del

Hi, I am new to R. How can I get labels/different colours on the lines in my xy-plots. I plot "het" against "temp" conditional on "year" and "station". library(lattice) MyLines <- function(xi, yi, ...){ #Draws line in the panels while avoiding spaghetti-plots I <- order(xi) panel.lines(xi[I], yi[I], col = 1)} xyplot(het ~ temp | fstation,

Hi, I am attempting to correct my models p-values due to temporal autocorrelations. It is not possible to model the correlation, so I have to make do with the p-value correction. I am feeling a bit thick here....I cannot get the autocorrelation values. What is the argument? My aim is to multiply the dependent variable autocorrelation with the independent variable autocorrelation and then