similar to: lattice, latticeExtra: Adding moving averages to double y plot

Hi, I've written a function in order to plot the same graph in a postcript and in a pdf file. Unfortunately, the second graph is always empty, i.e.: plot.both <- function{myplot, filename}{ pdf(file=paste(filename, ".pdf", sep="")) myplot dev.off() postscript(file=paste(filename, ".eps", sep="")) myplot dev.off() } yields in a

Simple one here ... but can't get it to work ... for (i in 1:4){ paste("stuff",[i]),sep="") <- 3 + i } ls() rm(list=ls()) I just want it to create 4 new variables called stuff1, stuff2, stuff3, stuff4 with the corresponding assignments. I realise that there are more elegant functions but this is just a model of a bigger situation. Thanks Jim

Hello, This is an R-syntax question when attempting to manipulate/access objects when passed to a function. I have a function attempting to just print values attached to an argument object. For example, printThis <- function(obj, parm2, parm3) { print(obj.stuff1) print(obj.stuff2) } where I've assigned stuff1 and stuff2 to the actual object passed as such actualObject.stuff1 <-

I''ve been playing with some ideas in getting the server-side Rails code and client-side AJAX stuff working nicely together while still providing fallback for non-js viewers. I''m using Behaviour + prototype. I was experimenting with using an object literal to define forms that would be inserted into appropriate divs. Why not just write the forms on the server side and unhide

Hi there, I'm trying to get the game Halflife working with Wine. I downloaded the latest Wineversion with CVS. I built it with : # ./configure --prefix=/usr/wine --enable-opengl # make depend && make && make install Then I insert the halflife cdrom and do: # mount /mnt/cdrom # cd /mnt/cdrom # wine SETUP.EXE It loads up the Halflife install wizard (progressbar goes from 0 to

Hello All, I have been trying to use the par(mfrow(c(m,n)) function to produce a panel of m rows and n columns of bar plots. The different columns were to designate n different categories, as the m rows are to designate different categories as well. However, I cannot seem to get rid of the y-axes(vertical axes) in the n>1 columns. I wrote a loop to attempt to do this, but ended up

hello, to display my histogram from a png file to a html file I use this syntax > myplot2 <- png(file=file.path(directory,"myplot2.png"), bg="transparent") > plot(1:10) > rect(1, 5, 3, 7, col="white") > dev.off() png:C:/Documents and Settings/melyakhlifi/Bureau/myplot.png 2 >

Hi, I'm running the following command for a remote host backup: /usr/local/bin/rsync -a --delete --delete-excluded -v --timeout=120 -z --no-whole-file -partial --partial-dir .rsync-partial --exclude=/sys/* --exclude=/tmp/* --exclude=/stuff/distfiles/* --exclude=/stuff/sistema/* --exclude=/stuff2/ftp/* --exclude=/stuff2/backup/* --exclude=/home/ftp/* --exclude=/home/gentoo/* --exclude=/mnt/*

I'd like to perform return variable assignments like matlab. For example, the following function would return A, B, and c to the script that called it. ================================= function [A,B,c] = simple(m,n) A=[ 3 2; 3 3] B=m c=1:n ================================= I'd like to do similar assignments in R, but I seem to be able to only return one variable. I tried to use a

I am trying to get data out of a database to my rhtml file. The files look like this: Model ------- mystuff.rb class Mystuff < ActiveRecord::Base set_table_name "mytable" set_primary_key "id" end Controllers -------------- mystuff_controller.rb require ''Mystuff'' class MystuffController < ApplicationController def read @me =

Hi, I know that according to plot theory, one should not have two y-axis. It is just that in my field, we are often depending on plots where water depth is plotted in one y-axis and other parameters such as salinity on the other y-axis to see where the halocline (the depth where the two layers of water are not mixed) is located. I have many other examples. To publish, it is required of me to

Dear R users, I have a data frame (test) including five columns of upper (numeric), lower (numeric), observed (numeric), best_sim (numeric) and stname (factor with 80 levels, each level with different length). Now I would like to write a short program to draw one graph as follow for each level of stname but I would like also to draw each time 12 graphs for the 12 levels of stname in the same

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

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 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 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

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

Hi All! Thanks to all of you that responded to my previous posts. I've gotten a lot more info now than I used to have! But I still have questions. The biggest right now is: Is there a way build up a Samba PDC as a direct replacement for an existing Windows NT 4.0 PDC? All the material I've found to date is written from a standpoint of creating a new domain as you create the Samba

Hi, I have used the mgcv library to generate a simple additive model. I want to know how to plot the function on the raw data with confidence intervals whan I have TWO variables in the model. I get it to work with one variable but not with two. I am on the limit for what I understand in R, so be gentle. I have read the help file on predict.gam, but did not get any help out of it. #My model: