similar to: power.anova.test for interaction effects

You need to give the model formula that gave your output. There are two sources of variation (at least), within and between locations; though it looks as though your analysis may have tried to account for this (but if so, the terms are not laid out in a way that makes for ready interpretation. The design is such (two locations) that you do not have much of a check that effects are consistent over

I am using the ts package to fit ARIMA models, and the tsdiag() function to plot diagnostics. In doing so I'm generating an awful lot of diagnostic plots of different models and different data sets all within the same R session. So my question is, is there an option in tsdiag() similar to <main="Title"> that I can use? This would be quite helpful when I print out the plots,

I've tried several different ways to accomplish this, but as yet to no avail. My y-axis for a plot has a rather long label, and thus I have been using "/n" to break it into two lines. However, to make it technically correct for publication, I also need to use superscript in the label. For example: par(oma=c(0,0,2,0),mar=c(5,6,0.25,2),lheight=1) plot(1:10,

Dear all R2.10 WinXP I have a dataset dealing with the way different wheat cultivars build their yield. Wheat ears are organised in spikelets where the spikelets can be numbered from the bottom, with even numbers on one side and odd on the other. I know how many kernels there were in each spikelet after some months spent counting them... Now I want to illustrate the differences between the

Dear all! W2k, R 2.5.1 I am working with an ongoing malting barley variety evaluation within Sweden. The structure is 25 cultivars tested each year at four sites, in field trials with three replicates and 'lattice' structure (the replicates are divided into five sub blocks in a structured way). As we are normally keeping around 15 varieties from each year to the next, and take in 10 new

Hi, the following R lines work fine in R 2.4.0, but not in R 2.4.1 or any devel versions of R 2.5.0 (see below for details). library(drc) # to load the dataset 'PestSci' library(nlme) ## Setting starting values sv <- c(0.43355869, 2.49963220, 0.05861799, 1.73290589, 0.38153146, 0.24316978) ## No error m1 <- nlme(SLOPE ~ c + (d-c)/(1+exp(b*(log(DOSE)-log(e)))), fixed =

Greetings R-helpers, I am attempting to fit an lme() while specifying a correlation structure, but I'm getting into trouble long before I get to that point. I am receiving the error: Error in y[revOrder] - Fitted : non-conformable arrays It doesn't seem to matter how simple or complex the model I specify is, it always gives this same error message. This makes me suspect something is

Hi, the following R lines work fine in R 2.4.0 alpha (and older R versions), but not in R 2.4.0 beta (details below): library(drc) # to load the dataset 'PestSci' library(nlme) ## Starting values sv <- c(0.328919, 1.956121, 0.097547, 1.642436, 0.208924) ## No error m1 <- nlme(SLOPE ~ c + (d-c)/(1+exp(b*(log(DOSE)-log(e)))), fixed =

On Wed, Aug 9, 2017 at 12:14 PM, Noralf Trønnes <noralf at tronnes.org> wrote: > > Den 09.08.2017 01.42, skrev Joe Kniss: >> >> Because all drivers currently use gem objects for framebuffer planes, >> the virtual create_handle() is not required. This change adds a >> struct drm_gem_object *gems[4] field to drm_framebuffer and removes >> create_handle()

On Wed, Aug 9, 2017 at 12:14 PM, Noralf Trønnes <noralf at tronnes.org> wrote: > > Den 09.08.2017 01.42, skrev Joe Kniss: >> >> Because all drivers currently use gem objects for framebuffer planes, >> the virtual create_handle() is not required. This change adds a >> struct drm_gem_object *gems[4] field to drm_framebuffer and removes >> create_handle()

On Wed, Aug 9, 2017 at 12:14 PM, Noralf Trønnes <noralf at tronnes.org> wrote: > > Den 09.08.2017 01.42, skrev Joe Kniss: >> >> Because all drivers currently use gem objects for framebuffer planes, >> the virtual create_handle() is not required. This change adds a >> struct drm_gem_object *gems[4] field to drm_framebuffer and removes >> create_handle()

Hi, I am trying to read in weather balloon data, where each file has a header of fixed length and a trailing section of a fixed length. The data section (the table) is of variable length. An example of the data is on: http://weather.uwyo.edu/cgi-bin/sounding?region=naconf&TYPE=TEXT%3ALIST&YEAR=2011&MONTH=06&FROM=1400&TO=1400&STNM=04018 This data has 97 rows and can be

Hi, I am working with R on a Mac. I need to use a couple of packages that I found on the Web site. I install them using Packages and Data: Package Manager. I leave R and come back another time and the installed packages are not installed. So I do it again. Not a big deal, but is there anyway to make the installation permanent? I want to run R through a 3rd party data management software and since

After a run multdrc comment in R program, show warning sign in this program. I attached the saving page of the script. I hope you could help me, please. Thanks a lot A. Rahbari -------------- next part -------------- R : Copyright 2005, The R Foundation for Statistical Computing Version 2.1.0 (2005-04-18), ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are

Hello, R users, I have two factors (treat, section) anova design experiment where there are 3 replicates. The objective of the experiment is to test if there is significant difference of yield between top (section 9 to 11) and bottom (section 9 to 11) of the fruit tree under treatment. I found that there are interaction between two factors. I wonder if I can contrast means from levels of

I'm running an ANOVA on some data for respiration in a forest. I am having a problem with my degrees of freedom. For one of my variables I get one fewer degrees of freedom than I should. I have 12 plots and I therefore expected 11 degrees of freedom, but instead I got 10. Any ideas? I have some code and output below: > class(Combined.Plot) [1] "character" >

Dear R-list, I have a partly comma separated partly underscore separated string that I am trying to parse into R. Furthermore I have a bunch of them, and they are quite long. I have now spent most of my Sunday trying to figure this out and thought I would try the list to see if someone here would be able to get me started. My data structure looks like this, (in a example.txt file) Subject

Hello, R experts, I have a list called dataHP which has 30 elements (m1, m2, ..., m30). Each element is a 7x6 matrix holding yield data from two factors experimental design, with treatment in column, position in row. For instance, the element 20 is: dataHP[[20]] col1 col2 col3 trt1 trt2 trt3 [1,] 22.0 20.3 29.7 63.3 78.5 76.4 [2,]

Dear Thomas Lumley, and R-help list members, I have read your article "Network meta-analysis for indirect treatment comparisons" (Statist Med, 2002) with great interest. I found it very helpful that you included the R code to replicate your analysis; however, I have had a problem replicating your example and wondered if you are able to give me a hint. When I use the code from the

Dear, I have a dataset with 4 subjects (see ID in example), and 4 treatment (see TRT in example) which are tested on 2 locations and in 3 blocs. By using Lattice dotplot, I made a graph that shows the raw data per location and per bloc. In that graph, I would like to have a reference line per bloc that refers to the first treatment (T1). However, I can not find how to do that. I can make