similar to: ggplot2: changing strip text in facet_grid and a legend text problem

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, # 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: #

Hei, i am trying to plot the means of two variables (d13C and d15N), by 2 grouping factors (Species and Year) that i obtained by the function tapply. I would like to plot with different colours according to the Year and show the "Species" as data labels. My data looks like this: Species d13C d13N Year "Species1" 14,4 11.5 2009 "Species2"

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

Dear R users, I am using lmer combined with AIC model selection and averaging (in the MuMIn package) to try and assess how isotope values (which indicate diet) vary within a population of animals. I have multiple measures from individuals (variable 'Tattoo') and multiple individuals within social groups within 4 locations (A, B, C ,D) crucially I am interested if there are

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:

Hello, Beginner, sorry if this is wasting anyone's time, but have been working on this for a couple of days now, think it should have take a few hours! The Problem: Error in Summary.factor(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, : max not meaningful for factors I have tried to re-arrange and check formula. I am working in SIAR, and cannot get model1 to run because of the error

Hi, I was recently misfortunate enough to have to use regular expressions to sort out some data in R. I'm working on a data file which contains taxonomical data of bacteria in hierarchical order. A sample of this file can be generated using: tax.data <- read.table(header=F, con <- textConnection(' G9SS7BA01D15EC Bacteria(100) Cyanobacteria(84) unclassified G9SS7BA01C9UIR

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

I am very new to R and don't have any computer program experience whatsoever. I am trying to generate a heatmap of the following data: Phylum,AI,AJT,BY,GA,Grt,Sm Acidobacteria,0.5,0.7,2.7,0.1,2.6,1.0 Actinobacteria,33.7,65.1,9.7,2.0,3.9,2.1 Bacteroidetes,9.7,5.6,0.7,13.2,41.1,21.6 CCM11b,0.0,0.0,0.0,0.0,0.0,0.1 Chlamydiae,0.1,0.1,0.0,0.0,1.0,0.2

Hi there, I am trying to run an MCMC on stable isotope data from certain organisms to determine their dietary habits in the package SIAR. I have prepared my data according to Inger, R., Jackson, A., Parnell, A., Bearhop, S. : SIAR V4 (Stable Isotope Analysis in R) an Ecologist's Guide (also better known as 'SIAR for dummies'), which is as follows: - consumer data table (columns

Help! model1 <- siarmcmcdirichletv4(data, source, tef, concdep=0, 500000, 50000) Error in matrix(1, ncol = (numsources + numiso) * numgroups, nrow = (siardata$iterations - : invalid 'ncol' value (too large or NA) In addition: Warning message: In Ops.ordered((numsources + numiso), numgroups) : '*' is not meaningful for ordered factors Previous message, but more problems:

I'm absolutely not brilliant with R yet and working with package SIAR. 1) SIAR reads the first column of a table.txt as "int" instead of "num". Who can help? 2) I therefore made tables with a data.frame() > that seems to work. But at the end of the loading proces of the SIARmodel, I get a warning screen with "Session Aborted". Everything crashes and I can start

Hi lattice users, I would like to add 5-year moving averages to my double y-plot. I have three factors needs to be plotted with moving averages in the same plot. One of these reads off y-axis 1 and two from y-axis 2. I have tried to use the rollmean function from the zoo-packages, but I fail in insering this into lattice (I am not an experienced lattice user). I want to keep the data points in

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

Is the maximum permitted value for --hitcount documented anywhere? I reliably get a iptables-restore error when I specify a hitcount value greater than 20 but I cannot find any mention of there being a maximum value. -- *** E-Mail is NOT a SECURE channel *** James B. Byrne mailto:ByrneJB at Harte-Lyne.ca Harte & Lyne Limited

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