similar to: cor() and cor.test() (PR#9781)

I apologize for how basic a question this is. I am a Stata user who has begun using R, and the syntax differences still trip me up. The most basic questions, involving as they do general terms, can be the hardest to find solutions for through search. Assume for the moment that I have a dataset that contains seven variables: Pollution, Temp, Industry, Population, Wind, Rain and Wet.days. (This

Dear list, Is there anyway i can make the following formula short by r-programming? CYCLE.n<-c(NA, WET[1]*DRY[1], WET[1]*DRY[2]+WET[2]*DRY[1], WET[1]*DRY[3]+WET[2]*DRY[2]+WET[3]*DRY[1], WET[1]*DRY[4]+WET[2]*DRY[3]+WET[3]*DRY[2]+WET[4]*DRY[1], WET[1]*DRY[5]+WET[2]*DRY[4]+WET[3]*DRY[3]+WET[4]*DRY[2]+WET[5]*DRY[1],

Hello, I would be very grateful if someone could give me a hand with my split plot design problems. So here is my design : I am studying the crossed-effects of water (wet/dry) and mowing (mowed/not-mowed = nm) on plant height (PH) within 2 types of plant communities (Xerobromion and Mesobromion) : - Within each type of communities, I have localised 4 blocks - In each block, I have defined

Hello, this is a request for assistance that I submitted earlier, this time with the dataset. My mistake for taking up bandwidth. I've also rephrased the question to address an additional concern. I'm working on a windows XP machine with R 2.8.1 1). I'd like a barchart (or other lattice type display) HSI ~ of the three factors (Region, Scenario and HydroState). However

Dear R list, I have a sequence of weekly observations of number of adults and larvae in various size classes from a butterfly population living in a subtropical area with pronounced wet and dry seasons. Wet and dry seasons are each defined 26 weeks long with fixed start and end dates. The data span 103 weeks (two seasons each of wet and dry) with some missing weeks. What I would like to do is

I have a problem with including extra data in a lattice graphic. I am trying to put some calculated values in an extra column of a boxplot. A minimal example should show what I am trying to do: foo <- data.frame( Treatment=rnorm(1:12,2),

Hi all, I have a matrix simulating migration in a spatial model. I want to be able to define movement (the values of m1, m2 and m3) as only != 0 between adjacent patches and contingent on certain conditions as defined in the function. Here is the code: WET<-function(t) {everglades$precipitation[t]} #simply reads precipitation data from a csv, value is numeric AB<-function(WET,t)

Hi, What's the best way to average dates? I though mean.POISXct would work fine but... > a [1] "2007-04-02 19:22:00 WEST" > b [1] "2007-03-17 16:23:00 WET" > class(a) [1] "POSIXt" "POSIXct" > class(b) [1] "POSIXt" "POSIXct" > mean(a,b) [1] "2007-04-02 19:22:00 WEST" > mean(b,a) [1] "2007-03-17

On Wed, 2019-03-13 at 11:22 +0100, L.P.H. van Belle via samba wrote: > Hi Stefan, > > Debian 8 ? 9? > DC's samba version ? > > Can you post your smb.conf and resolv.conf > > If you check with (per server what is the outcome. ) > samba-tool dbcheck > samba-tool dbcheck --cross-nc > > You could do a forced sync of a good server to the bad one. >

Dear List Members, I need some help about programming in S language. My problem is as follows: I have meteorological data (about rainfall measurement each day from 1989-2002), say like http://www.angelfire.com/ab5/get5/data.rainfall.txt or http://www.angelfire.com/ab5/get5/R.rainfall.txt in a sequence of 0(denoting dry day)'s and 1(denoting wet day)'s. I want to construct a frequency

On Thu, 2019-03-14 at 07:38 +0000, Rowland Penny via samba wrote: > On Wed, 13 Mar 2019 23:59:29 +0000 > Sérgio Basto via samba <samba at lists.samba.org> wrote: > > > On Wed, 2019-03-13 at 11:22 +0100, L.P.H. van Belle via samba > > wrote: > > > Hi Stefan, > > > > > > Debian 8 ? 9? > > > DC's samba version ? > > >

Hi Everyone, I am trying to analyze a split plot experiment in the field that was arranged like this: I am trying to measure the fitness consequences of seed size. Factors (X): *Seed size*: a continuous variable, normally distributed. *Water*: Categorical Levels- wet and dry. *Density*: Categorical Levels- high, medium and solo *Plot*: Counts from 1 to 20 The *response variable *(Y) was the

As part of my effort to back away from the primary Shorewall support role, I am going to change the way that Development releases are supported. It was my hope that Development releases would be used primarily by people who need the new functionality in those releases but I am seeing a small but steady stream of posts on the Development list asking questions about initial installation and

Folks, A small group of us are working together to develop a set of R functions to support data management and analysis using Eclipse/StatET in a Windows environment. We are using Git/EGit for version control. We work within our own repository and occasionally push to a common remote location. I'd like to have the code source files from the 'local' git repository without

Hi I don't know if you can help. I am a 2nd year Bsc Cosmetic Science student and in R I need some help in drawing stars. The problem that I have is I want to recreate a radar diagram similar to the one in excel. I have put in these commands in a script window: stars(shampoo1[, 1:6], locations = c(0,0), radius = TRUE, key.loc=c(0,0), main = "Ranked Results for the Sensory

as i said, right now i'm just getting my feet wet. but, i will be needing to build dialplans on the fly. 'add extension' seems like the right call to make. .t > What is the goal of this? It doesn't make much sense to me. Care to > share some insite into what your goal is? > > bkw > > On Sun, 23 Nov 2003, tad wrote: > > > actually, i do have a

Hi everybody, I'm trying to create a numerical data frame on which to perform PRCC. So far I have created a data frame that consists of function/vector output that displays in numerical form, but when I try and run PRCC (from epiR package) I get the following error message: "Error in solve.default(C) : Lapack routine dgesv: system is exactly singular" It appears this is because

Dear all, I want to build a model in R based on animal collection data, that look like the following Nr Village District Site Survey Species Count 1 AX A F Dry B 0 2 AY A V Wet A 5 3 BX B F Wet B 1 4 BY B V Dry B 0 Each data point shows one collection unit in a certain Village, District, Site, and Survey for a certain Species. 'Count' is the number of animals collected in that

I have 2 dataframes. "mydata" contains numerical data. "mybys" contains information on the "group" each row of the data is in. I wish to aggregate each column in mydata using the corresponding column in mybys. Please see the example below. What is a more elegant or "better" way to accomplish this task? Thanks! mydata =

New to R, and didn't find the following in the docs. Main use for R. to get feet wet, is to pipe in x,y,z data, one point per line, and plot it in 3d, like this: { echo 1,2,3 echo 2,4,6 ... } | R ... But functions like contour seem to require index vectors that are sorted. I am curious why, and how to convert. Also, I am curious whether any Lisp person has ever written a front end to R