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...n find the position of this point is about (87, 376) [(x, y)]. I want to know how to convert the (0, 0) in the user coordinate system to this value? I look forward to hearing from you. -- ADDRESS: Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences 320 Yueyang Road, Shanghai 200031, P.R.China TELEPHONE: 86-21-54920086 [[alternative HTML version deleted]]

...sino.org/R/R-doc/ ( http://www.biosino.org/R/R-doc/files/R-intro_cn.pdf). Wish it will be useful for Chinese R users. Any suggestion, comment and correction are welcome! -- ADDRESS: Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences 320 Yueyang Road, Shanghai 200031, P.R.China TELEPHONE: 86-21-54920086 [[alternative HTML version deleted]]

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,

Hi, I would like to know the similarity between variables, but I don't exactly how begin and as from what dataframe or matrix! I have a matrix where in row I have 'Good', 'Medium','Bad' and in columns I have my Criterions ! What function and package should I use? Thanks a lot Sabine --------------------------------- ils, photos et vidéos ! [[alternative

# CASE 1 # The following plots a single cell or block for all three location 0,1,2. y <- rep(2,8) hist(y) # why is this a single block? hist(y,xlim=c(0,2)) # same thing hist(y,breaks=2) # same # CASE 2 # adding a different value, plots as expected y <- append(y,0) hist(y) # plots as expected In most cases of the data I have variances in the data so

¸÷λºÃ£¬ http://rbbs.biosino.org/Rbbs/ ÏÖÔÚÔÚ²âÊÔ£¬»¶Ó­Òâ¼û¡£ -- ADDRESS: Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences 320 Yueyang Road, Shanghai 200031, P.R.China [[alternative HTML version deleted]]

Dear All, I am not familar with R. I want to use PCA (principal components analysis) and MDS (multidimensional scaling). Can someone tell me which R package I should use for PCA and MDS? I appreciate your help in advance. Ray

...ion was in the document. R is a great sofeware. I like it and I will do something for it. Wish You Will Enjoy It! You can send a email to me. Any suggestion and comment are welcome! -- ADDRESS: Bioinformatics Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences 320 Yueyang Road, Shanghai 200031, P.R.China TELEPHONE: 86-21-54920086 [[alternative HTML version deleted]]