similar to: Using logarithmic y-axis (density) in a histogram

Hello everybody 1. If there is/ever will be a function to perform "duncan multiple range test" please inform me at once. 2. Is there a way to create a grouping as duncan does from TukeyHSD output? My experimental design contained 62 genotypes, so the pairwise comparison is not that usefull and clear to look at. How would I do that? Is there an other test that does give grouping as

I want to use the plot(model) function to generate Tukey-anscomb and Q-Q plots of a lm(). I manage to change all labels but the main one which apparently is neither main or sub. So far I have tried as par setting: cex (changes symbol size within the plot), cex.main (no effect), cex.sub (no effect) cex.lab (changes label size), cex.axis (changes axis label size). What I would like to change is the

Dear all For a model I need to combine several netCDF files into one (which works fine). For better overview I'd like to delete/remove some of the attributes. Is there a simple way doing this? I'm using the package netcdf4, which creates an object of class(nc) = "ncdf4". It seems that for earlier versions of netcdf objects, there was the function att.delete.nc{RNetCDF}. But

Dear all I have to combine 3D netCDF files (lon, lat, time). The files contain data of one month and I need a year file containing all the data. Because the attributes of all files are the same, I copied the first file and appended the data of the other months. This went well until the provider of the data changed the time-dimension from UNLIMITED to LIMITED. Is there a way to change the time

Le 02/08/2017 ? 12:03, raphael.felber at agroscope.admin.ch a ?crit : > Dear all > > For a model I need to combine several netCDF files into one (which works fine). For better overview I'd like to delete/remove some of the attributes. Is there a simple way doing this? > > I'm using the package netcdf4, which creates an object of class(nc) = "ncdf4". It seems that

Dear Marc Thanks for your remark. I don't want to use both packages. I mentioned the package RNetCDF to show that there is a similar function I' d like to use. Raphael Von: Marc Girondot [mailto:marc.girondot at u-psud.fr] Gesendet: Mittwoch, 2. August 2017 14:51 An: Felber Raphael Agroscope <raphael.felber at agroscope.admin.ch>; r-help at r-project.org Betreff: Re: [R] Remove

Hi Marc That's a workaround I can use. Thanks. I'm a newbie regarding netCDF data. Is there any information I'm losing when switching between the packages? Raphael Von: Marc Girondot [mailto:marc.girondot at u-psud.fr] Gesendet: Mittwoch, 2. August 2017 15:13 An: Felber Raphael Agroscope <raphael.felber at agroscope.admin.ch> Betreff: Re: AW: [R] Remove attribute from netcdf4

How can perform logarithmic binning in the scatterplot? I could only take the log of the variables and plot them, but I am sure that is not the way. I have a very huge data, and would want to plot those high density scatterplots and code then with different colors for the bins/density. -- View this message in context:

I' ve seen that several people are looking for a function that creates a barplot with an error indicators (I was one of them myself). Maybe you will find the following code helpful (There are some examples how to use it at the end): # Creates a barplot. #bar.plot() needs a datavector for the height of bars and a error #indicator for the interval #many of the usual R parameters can be set:

Dear all I'm a newbie regarding netcdf data. Today I realized that I maybe do not understand some basics of the netcdf. I want to create a *.nc file containing three variables for Switzerland. All data outside of the country are NAs. The third variable is calculated from the first two variables. Basically there is no problem to do that. I copy the file with the data of the first variable,

On Mon, Aug 14, 2017 at 5:29 AM, <raphael.felber at agroscope.admin.ch> wrote: Dear all > > I'm a newbie regarding netcdf data. Today I realized that I maybe do not > understand some basics of the netcdf. I want to create a *.nc file > containing three variables for Switzerland. All data outside of the country > are NAs. The third variable is calculated from the first two

I don't think, this has been answered: > I'm trying to run a 3-way within-subject anova in lme with 3 > fixed factors (Trust, Sex, and Freq), but get stuck with handling > the random effects. As I want to include all the possible random > effects in the model, it would be something more or less > equivalent to using aov > > > fit.aov <- aov(Beta ~ >

> My question is not about statistics but more obviously about an R command. > I would like to plot an histogram with a logarithmic scale. I have > searched through R documentation and have read about the "log" option. > What matters is that it does not work with the hist() function. I'm > working with R version 1.2.3 . Maybe the problem has been solved in R 1.3 > .

Hello, in scilab /Matlab there are functions that can create linear sequences (like R's seq()) as well as logarithmic sequences. Is there a logarithmic aequivalent of seq()? Or maybe this would be an idea for newer R-releases, maybe a type-option with "linear" and "logarithmic" as parameters....?! Ciao, Oliver

Dear Researches, sorry for the easy and common question. I am trying to justify the idea of RandomForest don't require a transformations (e.g. logarithmic) of variables, comparing this non parametrics method with e.g. the linear regressions. In leteruature to study my phenomena i need to apply a logarithmic trasformation to describe my model, but i found RF don't required this approach.

I'm using the {lattice} "levelplot" function to make a (more or less) 2-d histogram, and for the most part it's working fine with my data. However, I can't get the color key to do what I need. I can give it labels and custom cutoffs, but my cutoff lines (and hence my labels) aren't evenly spaced, instead they're more-or-less logarithmic, starting at

This should be simple but I am struggling. I like to easily switch in xyplot between a linear or logarithmic y-axis by setting a logical flag logY to False or True. This switch changes the scales argument of xyplot. I found out that the original two-dimentional data (Conc vs Time in my case) are converted to log10(Conc) if log=TRUE in scales, but it appears that functions like panel.curve need to

Greetings all, So, I''ve finally found a place to play around with the Ajax.PeriodicalUpdater. In looking at the API, I''m liking the decay option -- not necessarily for my current purpose, but just to keep in mind -- and I have a question: can the decay be a function which returns an integer? Basically, why I''m looking for is a logarithmic decay (where the system

Hello! If I use the errbar-function and have a logarithmic scale on the x-axis, then the little horizontal bars at the end of the errbars (cap) disappear. What can I do? Thanks for helping! Ute

Dear R-helpers! Using logarithmic axes sometimes results in an odd labelling. In some cases, only half of the axes do have labels. Hmmmm. I've played around with par(lab=c(5,5,7)) but that didn't help. An example: ---- begin example ---- x <- c(0.12, 0.3, 0.53, 1.1, 1.8, 2.6, 4.5) y <- c(0.012, 0.021, 0.032, 0.055, 0.1, 0.2, 0.35) plot(x, y, log="xy",