search for: notoole

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2008 Oct 23
1
code works in R desktop but not iin RWeb - I got it working
...<xieyihui@gmail.com> Phone: +86-(0)10-82509086 Fax: +86-(0)10-82509086 Mobile: +86-15810805877 Homepage: http://www.yihui.name School of Statistics, Room 1037, Mingde Main Building, Renmin University of China, Beijing, 100872, China On Wed, Oct 22, 2008 at 11:15 PM, Natalie O'Toole <notoole@mtroyal.ca> wrote: > > Hi Yihui, > > Thank-you for this information. This is the code I am entering into RWeb > after loading my data file: > > #subset the file to only include certain values: > > test<-subset(X, GRADE == 7 & Y_Q10A < 9) > > #sort the...
2007 Apr 26
4
select if + other questions
Hi, i am trying to read a .txt file, do a couple of select if statements on my data, and then finally use the ?table function to get frequency counts on the data. Specifically, i am looking at answering the following question: What is the frequency of Grade 7 students in the province of Alberta who are smokers? I am having some problems: 1)i cannot get the column names to show up when print
2008 Oct 21
3
code works in R desktop but not iin RWeb - How do I modify to get it working in RWeb, please?
Hi, How are you? I have a quick question.... I have code that works perfectly with R desktop, but does not work with RWeb. Could you please tell me how to modify the code below so it will work with RWeb? #Read in txt file happyguys<-read.table("c:/test8.txt", header=TRUE, row.names=1) #Subset the txt file to only include certain values test<-subset(happyguys, GRADE == 7
2007 Apr 30
0
thousand separator (was RE: weight)
...> minimum of space. > > Yes but I'm an relative newbie at R and didn't realise > that str() would do that. I always thought it was > some kind of string function. > > Thanks, it makes life much easier. > > > > > > > --- Natalie O'Toole <notoole@mtroyal.ca> wrote: > > > > > > > Hi, > > > > > > > > I'm getting an error message: > > > > > > > > Error in df[, 1:4] * df[, 5] : non-numeric > > argument > > > > to binary operator > > > > In...
2007 Apr 27
5
weight
Hi, I have the file below called happyguys. It is a subset of data. How do I apply the weight variable (WTPP) to this file? Can i just multiply each column (except the first column because it is a record id) by WTPP? If the answer is yes, how do I multiply one variable name by another? Thanks, Nat PROV REGION GRADE Y_Q10A WTPP 83 48 4 7 2 342233324020 115
2007 Aug 15
0
Mann-Whitney U test discrepancies
Hi, I do want to use the Mann-Whitney test which ranks my data and then uses those ranks rather than the actual data. Here is the R code i am using: group1<- c(1.34,1.47,1.48,1.49,1.62,1.67,1.7,1.7,1.7,1.73,1.81,1.84,1.9,1.96,2, 2,2.19,2.29,2.29,2.41,2.41,2.46,2.5,2.6,2.8,2.8,3.07,3.3) > group2<-
2007 Apr 27
0
like SPSS
Hi, I've written code to extact a pumf file in R, subset it, and weight it like you would do in SPSS. My code is below & it works great. My question is: how do i then calculate the frequencies of smokers (1) versus non-smokers (2) after having weighted my file? or even the process that SPSS is going through to aggregate the data? Thanks, Nat Here is my code:
2007 Apr 25
3
aggregate similar to SPSS
Hi, Does anyone know if: with R can you take a set of numbers and aggregate them like you can in SPSS? For example, could you calculate the percentage of people who smoke based on a dataset like the following: smoke = 1 non-smoke = 2 variable 1 1 1 2 2 1 1 1 2 2 2 2 2 2 When aggregated, SPSS can tell you what percentage of persons are smokers based on the frequency of 1's and 2's. Can
2007 Apr 25
1
help
Hi all, I have 2 questions: 1)How do I calculate the mean on an imported txt file? I've imported the file below and that's what it looks like imported. How do I then calcuate the mean, median, or mode on the column LeafArea using the desktop R package? Any help would be greatly appreciated!! Thanks, Nat LeafType Leaflets LeafArea ShapeRatio LeafWeight LeafThickness 1 1
2007 Aug 14
4
Mann-Whitney U
Hi, Could someone please tell me how to perform a Mann-Whitney U test on a dataset with 2 groups where one group has more data values than another? I have split up my 2 groups into 2 columns in my .txt file i'm using with R. Here is the code i have so far... group1 <- c(LeafArea2) group2 <- c(LeafArea1) wilcox.test(group1, group2) This code works for datasets with the same number