search for: hbrc

...= NULL, use = "all.obs", method = c("pearson", "kendall", "spearman")) use is the appropriate argument. All you need to do is to decide which option to wish to use. Tom > -----Original Message----- > From: Brett Stansfield [mailto:brett at hbrc.govt.nz] > Sent: Thursday, 17 March 2005 5:55 AM > To: R help (E-mail) > Subject: [R] (no subject) > > > Dear R > I'm trying to do a correlation matrix for some variables I have. > Unfortunately there are some NA entries for some of the variables > I tried the foll...

Dear R I recently asked for a cluster analysis Using * cluster.results <- hclust(iris.dist, method="complete") * but nothing happened i.e the previous scatterplot matrix still showed up whereas I was expecting a dendogram. Could it be that because I had used cutree before on the scatter plots that it somehow mucked it up. I tried detach then attach and commenced making the data

Dear R help I have been trying to conduct a chi square test on two groups of variables to test whether there is any relationship between the two sets of variables chisq.test(oxygen, train) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128, p-value = 1 > chisq.test(oxygen) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128,

Dear R I recently performed a cluster analysis. It produced the dendogram no problem but unfortunately the font size of the row.names were all cluttered due to their large size So I tried to change the font size using plclust(cluster.results, labels=iris$specie, cex=0.8) and R came back to me saying Error in plclust(cluster.results, labels = iris$specie, cex = 0.8) : unused argument(s)

Dear R I recently did a scatterplot matrix using the following command pairs(sleep[c("SlowSleep", "ParaSleep", "logbw", "logbrw", "loglife", "loggest")],col=1+as.integer(ParaSleep > 5.5 | SlowSleep > 15.7)) this highlighted outlying points for some of the x,y plots that I needed to identify. Unfortunately this highlights all the x,y

Dear R What does NaN mean? I recently did a correlation on a batch of data for some reason it didn't like one column cor(sleep,use="complete.obs") BodyWt BrainWt SlowSleep ParaSleep TotalSleep BodyWt 1.00000000 0.95584875 -0.3936373 -0.07488845 -0.3428373 BrainWt 0.95584875 1.00000000 -0.3867947 -0.07427740 -0.3370815 SlowSleep -0.39363729

can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':

can you tell me how to ask R to analyse a subset of data eg. supposing the data set consists of 9 columns and I only want R to analyse columns 1, 3 and 5 how would I command R to conduct eg. boxplots of those variables only? thanks brett Brett Stansfield Environmental Scientist - Water Quality Hawke's Bay Regional Council 102 Vautier Street Private Bag 6006 Napier Phone (06) 835-9200

> -----Original Message----- > From: Brett Stansfield > Sent: Wednesday, 19 January 2005 4:25 p.m. > To: 'S.Ganesh at massey.ac.nz' > Subject: Document1 > > <<Doc1.doc>> I was trying to get R to analyse one variable of the file > Chicken Weight. when I ask > > hist(data$weight) > R says "x must be numeric" > yet when I

Dear R help Is there a way for R to ignore NA entries in a data set. I find I can do box plots for certain columns that have no NA entries but cannot do histograms or boxplots for the other columns that have NA entries Brett Stansfield

Dear R I'm trying to do a correlation matrix for some variables I have. Unfortunately there are some NA entries for some of the variables I tried the following cor(sleep[c("logbw", "logbrw", "SlowSleep", "ParaSleep", "loglife", "loggest")]) but it told me Error in cor(sleep[c("logbw", "logbrw",

Dear R Is there a way to apply row names as labels to a scatter plot matrix , I tried pairs(dogs, labels=row.names) Error in strwidth(labels, "user") : cannot coerce type closure to character vector I'm not sure what this means, however maybe you might know of a way to do this? brett stansfield

Dear R Should I be concerned if the loadings to a Principle Component Analysis are as follows: Loadings: Comp.1 Comp.2 Comp.3 Comp.4 X100m -0.500 0.558 0.661 X200m -0.508 0.379 0.362 -0.683 X400m -0.505 -0.274 -0.794 -0.197 X800m -0.486 -0.686 0.486 0.239 Comp.1 Comp.2 Comp.3 Comp.4 SS loadings 1.00 1.00 1.00 1.00 Proportion Var 0.25 0.25 0.25

Dear R, I recently did a canonical correlation analysis on two subsets of data (location and weather). So I now have canonical scores for location and weather. but I'd now like to do a scatterplot matrix using the pairs statement. Is there a way to somehow join location.U and weather.V to become a new data set from which I could undertake a scatterplot matrix of the canonical variates?

Dear R help I am having difficulty doing a biplot of the first two factors of a factor analysis. I presume it is because the values in factor 2 for Milk and NUTS are not displayed in the component loadings. Loadings: Factor1 Factor2 RedMeat 0.561 -0.112 WhiteMeat 0.593 -0.432 Eggs 0.839 -0.195 Milk 0.679 Fish 0.300 0.951 Cereals -0.902 -0.267

Dear R I'm trying to plot the lda means onto a 2 D plot of discriminant scores. Preferably I'd like these to be in a larger font compared to the discriminant scores. I tried skull.mean.pred <- predict(skulls.lda, as.data.frame(skulls.lda$means), dimen=2) from which I got skull.mean.pred $class [1] 1 2 3 4 5 Levels: 1 2 3 4 5 $posterior 1 2 3 4

Dear R Can you tell me how to change the working directory of R It's just that I have some text files that I wish to save separately from the R filing structure eg. into C:/my documents and need to change the working directory of R so that it reads these files . This means if I ever upgrade the current version of R nothing will be effected. brett Brett Stansfield Environmental Scientist -

Dear R, I'm trying to plot the first principle component of an analysis vs the first variable but am having trouble. I have no trouble doing the initial plot but have difficulty thereafter. First I want to highlight some points of the following data set list(running) [[1]] X100m X200m X400m X800m X1500m X5K X10K Marathon Argentina 10.39 20.81 46.84 1.81