similar to: 3-dimensional table

> Buenas, tengo la siguiente inquietud. > Tengo un data frame con los microdatos de la ECH de mi pais. He realizado > un cuadro sin problemas en excel pero me gustaria una rutina de R para > poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las > siguientes variables para este caso: > > idhogar region estrato integranteshogar expansor ingpercapsvl Computador

Dear R-people, I hope asking this is not too cheeky, but I do have a R Problem. I hope that some of you like to play around with R and can help me. Its like this. I have several plant species (A,B,C) and 10 replicates per species. 5 plants per species are damaged, 5 not. I let a caterpillar feed on each plant and measured the growth of the caterpillars on control plants (CR) and on damaged

Buenas, tengo la siguiente inquietud. Tengo un data frame con los microdatos de la ECH de mi pais. He realizado un cuadro sin problemas en excel pero me gustaria una rutina de R para poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las siguientes variables para este caso: idhogar region estrato integranteshogar expansor ingpercapsvl Computador TvAbonado Internet 1 capital 1 2

Dear R-users, I set up an experiment where I put up bluebird boxes across an urbanization gradient. I monitored these boxes and at some point I pulled a feather from a chick and a friend used spectral properties (rtot, a continuous var) to index chick health. There is an effect of sex that I would like to include but how would I set up a regression and look at the effect of urbanization

Dear list, I was wondering if there is a function to plot league tables, sometimes also known as "caterpillar plots"? A league table is conceptually very similar to a box plot. One difference is that the inter-quartile ranges are not shown. If there isn't such a function a first attempt for a "selfmade" plot would be to tell boxplot not to plot boxes (sounds silly

Dear R-users, I did some more research and I'm still not sure how to set up an ANCOVA with nestedness. Specifically I'm not sure how to express chicks nested within boxes. I will be getting Pinheiro & Bates (Mixed Effects Models in S and S-Plus) but it will not arrive for another two weeks from our interlibrary loan. The goal is to determine if there are urbanization (purban)

Hello all I'm trying to do a simulation that involves identifying the minimum point between two peaks of a (usually) bimodal distribution. I can do this easily if there are only two peaks: CnBdens<-density(Ys/Xs) #probability density function for ratio of Ys to Xs for(p in 1:512) ifelse(CnBdens$y[p]>CnBdens$y[p-1],peak1<-p,break) #identifies first peak in probability

Hi dears, I expect that Mr Thomas Lumley will read this message. I have data from a complexe stratified survey. The population is divide in 12 regions and a region consist to and urban area and rural one. there to region just with urbain area. stratification variable is a combinaison of region and area type (urban/rural) In rural area, subdivision are sample with probabilties proporionnal to

Hello R people, I am looking to pay someone to help write some R code. Inputs: Study identifier: ID Number for the study, each ID number is for one study only each block set should only be used for that study. This will require that you store the results from the blocks someplace on the file system. Trait #1: dichotomous rural / urban Trait #2: dichotomous sick / healthy Assignment Ratio:

I apologize if this has been answered. I have researched this to the best of my ability, that's not to say the answer isn't in the archives just I am a new user and I don't know the proper terms to search under. I have an object: f <- mpr100 ~ time + nhb + hispanic + other + rural + hrural + factor(age) + factor(gender) +

I have two dataframes C and C1. Each has three columns viz. state, psu and weight. The dataframes are of unequal size i.e. C1 could be 2/25/50 rows and C has 42000 rows. C1 is the master table i.e. C1$state, C1$psu and C1$weight are never the same. ThisA. P., Urban, 0 is not so for C. For example C state, psu,weight A. P., Urban, 0 Mah., Rural, 0 W.B., Rural,0 Ass., Rural,0 M. P., Urban,0 A. P.,

I have two problems where I've come up with some code that will do the analysis that I want, but it looks pretty clumsy. In the first case, I calculate the variance on five different columns for each of 14 clusters and get them into one matrix. I get the job done, but I would have thought that it could be done in one or two lines, not six, and be generalized so that it didn't matter how

Hello; Our survey is structured as : To be investigated area is divided into 6 regions, within each region, one urban community and one rural community are randomly selected, then samples are randomly drawn from each selected uran and rural community. The problems is that in urban/rural stratum, we only have one sample. In this case, how to do bootstrap? Any comments or hints are greatly

Dear all, I'm trying to create a legend for my graph. I hope to have the title as "Land Use Type" and the two elements being "Urban" and "Rural" with a red point and green point respectively. So far I have the following command, but obviously it isn't correct: > legend("topright", title="Land Use Type", cex=0.75, pch=16,

It appears I broke ggplot in my script, but that maybe it is because the caffeine has worn off or maybe it is late in the day.   I thought I was beginning to understand ggplot, but I have encountered a silly little issue.   For some reason the following does not produce a histogram with fill due to the Person's characteristics: (Note that VADeaths_flat_df$Data works fine...)    

I have a function (see below) that does some bootstrapping (I am happy to expand offline why I could use existing functions.) I put my results into and empty matrix and add a row of results with each iteration. My problem is i am a new user to R and I don't understand data frames, matrices, elements, and vectors well. What I would like is to have a data frame I can manipulate outside of the

I made an attempt to partly decrease fragment by using a preallocated area of multiple size of a std blocksize for a tree block when it is COWed. The basic idea is that if any a tree block need to be created, we offer, say, 2 or 4 multiples of a std blocksize for it, then use the first block in the continuous blocks. When this block need a cow in the future, a new free block in these continuous

From: http://www.usac.org/_res/documents/hc/pdf/training-2009/USAC-USF-overview.pdf -The FCC now requires all VoIP telecom providers terminating and originating to the PSTN to charge Universal Services Fund tax to end user customers. -USF is 8.4% of revenue for VoIP Telco's. -Last year USAC collected and dispersed seven BILLION dollars for libraries, rural health care centers, high cost

I'm using R for PCA and? factor analysis. I want to create biplots of varimax rotated factors that color-code points by their classification. My research is on streams that are urban and rural. So, I want to color code them by this classification. If you just do a biplot from prcomp or princomp, you cannot add this color. So, I have used some code developed by a graduate student in our

Sorry for the off-topic, but perhaps this will be of interest to other asterisk based ITSPs. We are starting service in a rural area where the ILEC has the rural "monopoly". From what we have read in the FCC docs this does NOT exempt them from number portability, but what does it take for us to qualify to receive their numbers? To date we simply have a few voice trunks to them,