similar to: R Graphic - Tellis as a potential

I need to apply a yearly inflation factor to some wages and supply some simple sums by work category. I have gone at it with a brute force "for" loop approach which seems okay as it is a small dataset. It looks a bit inelegant and given all the warnings in the Intro to R, etc, about using loops I wondered if anyone could suggest something a bit simpler or more efficent? Example:

Hi, I am having some difficulties with matrix operations. It is a little hard to explain it so please bear with me. I have a very large data set, large enough that it needs to be split in parts in order to deal with. I can work things on these "parts" but the problem lies in adding together these parts for the final answer. So that been said, let's say that i split the data in 2

Dear list, I have a vector (array, table row, whatever is best) of frequency values for categories (or bins), and I need to find the median category. Trivial to do by hand, but I was wondering if there is a means to do it in R in an elegant way. The obvious medioan(vector) returns the median frequency for the binns, and that is not what I want. i.e,: freq cat1 1 cat2 10

I have a categorical variable in a dataframe similar to the following... cat 1 1 3 2 4 I need to convert it to 4 dichotemous variables for each observations like... cat1 cat2 cat3 cat4 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 Thanks in advance! Shane

Hi, I have a dataset with 6 categorical variables. I have used this following code to make the variables u1-u6 ordered factors and this works well. cat1cat2 cat3 cat4 cat5 cat6 ? 0 ? ?? 1 ? ? 1????? 0 ??? 0? ?? 1 ? 1 ? ?? 1 ? ? 0 ? ?? 0 ? ? 0 ? ? 0 ....... .... ############ data<-read,table("example.txt") data <- as.data.frame(lapply(data, ordered)) ############ Now,

Dear all, I am a relative novice with R, so please forgive any terrible errors... I am working with a GLM that describes a response variable as a function of a categorical variable with three levels and a continuous variable. These two predictor variables are believed to interact. An example of such a model follows at the bottom of this message, but here is a section of its summary table:

i am making a category tree and i iterate over the category using my counter_cache however it would show a different number than what was actually being represetned in the tree. Here is an example cat.children = [cat2, cat3] puts cat.children.size 2 puts cat.children_count 2 cat4.parent_id = cat.id cat4.save puts cat.children.size

Hi all, I have some data as follows. Cat1 Cat2 Cat3 COG Counts A B C COG1 10 B D COG2 20 C COG3 30 D COG4 40 I would like to sum all the counts for each category: A B C D 10 30 40 60 >CAT2COG<-

Hi all, First time poster, so sorry if I commit some breech of posting etiquette. My problem is as follows. I have a data frame where each column represents a category and the individual data points in each category are binary responses (in this case they are actually 1's and 0's). What I want to extract are the counts for each category and put them in a vector. To do that I used the

Hello, I can get the median for each factor, but I'd like another column to go with each factor. The nm column is a long name for the lvls column. So unique work except for the order can get messed up. Example: x =

Hi, I have two data sets; one is a population and the other a sample of that population. I am trying to plot both on the same trellis display. # Example data set with two numerical attributes and two categorical pop <- data.frame(var1=rnorm(2000, 2000, 500), var2=rnorm(2000, 2000, 500)) cat<-(runif(2000)<=.5)+0 for(i in 1:length(cat)){ if(cat[i] == 0){ pop[i,"cat1"] =

Hi, I have the following dataset and I would like to create a dotplot with confidence limits: CAT1 CAT2 MEAN Lower Upper 1 1 1 0.619 0.392 0.845 2 1 10 1.774 1.030 2.518 3 1

I''m playing around with Rails, and I can''t get this to work. I just can''t seem to wrap my brain around it. I''m having some trouble doing an Ajax navigation column. Here''s what I have: view layout: <div id="navigation"> <%= render(:partial => "navigation", :collection => @categories) %> </div> My

posting the question in r-help@ to get more feedback :-) thanks, Yun-Fang ----- Original Message ----- From: "Yun-Fang Juan" <yunfang at yahoo-inc.com> To: <s-news at wubios.wustl.edu> Sent: Tuesday, December 16, 2003 2:04 PM Subject: [S] plot stacked bar chart in R > Hi, > I am trying to plot a stacked bar chart in R but am not able to find the > documentation.

Hi all, I have two prodction servers with FreeBSD 5.4 (all security patches are applied). They running some services like dns, ssh, http, ftp, etc. But I woukd like to encrypt some services for some hosts with ipsec when it is accessed. For example: - DNS resolution: not encrypted. - DNS replication master-slave: encrypted by ipsec. - Telnet: encrypted by ipsec for some hosts. Deny

Hello all, I have a business user who generates monthly reports in MS Excel in a particular format. The data I need is present in different portions of this excel file. Is there a way to read different cells from a particular excel worksheet? i.e., cells b50:d100 in the Inputs worksheet. I am investigating odbcConnectExcel but did not yet see such capability. Appreciate your help. Jeevan

Hello R help I have a dataframe, with 71 samples (rows) and 30 variables. I got linear models for some of the variables,? and I want to join fitted and residuals of these models to the data frame. Sometimes, these vectors have the same length of the dependant variable, but in a few cases, NA values can be found on my data, and therefore, both fitted and residuals have a few rows less than the

Hi i have two tables treatmentcategories and treatmentitems. each category has many items. i have specified has_many :treatmentitems in treatmentcategories.rb model and belongs_to :treatmentcategories in treatmentitems.rb model in one of my def i am trying to display category with each item. So i used @cats = Treatmentcategories.find(:all, :include => :treatmentitems) but i am getting

I'm running tm 0.5 on R 2.9.2 on a MacBook Pro 17" unibody early 2009 2.93 GHz 4GB RAM. I have a directory with 1697 plain text files on the Mac, that I want to analyze with the tm package. I have read the documents into a corpus, Corpus_3compounds, as follows: # Assign directory to a character vector dirName <- "/Volumes/RDR Test Documents/3Compounds/TXT" # Put the

Hi, I am comparing the observed and fitted values of my GAM model, which includes the explanatory variables: longitude, depth, ssh, year and month. When I compare observed and fitted values for longitude, depth and ssh it works. But when I try to do it for month and year (which are as factors in the GAM model) it doesn't work. My observed and fitted values are exactly the same.. How is that