[R] help interpreting the output of functions - any sources of information
Hi, I am looking for documentation, reference guides, etc. that explain the output of functions... For example using cor.test(, method=pearson) with Pearson's corr coeff the output is: Pearson's product-moment correlation data: a and b t = 0.2878, df = 14, p-value = 0. alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.4355690 0.5514366 sample estimates: cor 0.07669612 What are all these? Apologies but I am new in R and statistics in general but a textbook I was looking at, regarding SPSS, explains only the r coeff and the conf interval Any help with sources I can refer to? Particularly in a broader context as it would not be nice to post all the time such questions... Thanks in advance, GM [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] help interpreting the output of functions - any sources of information
Hi, If you look at the documentation for the function you are interested in, in this case ?cor.test, it will generally give you an explanation of the return values (often brief, and not too helpful if you aren't already familiar with the test), but also one or more references that you can turn to for further information. Most likely, though, you'll want to absorb a general introductory stats book before you delve into the gory details of many of those references. Sarah On 4/24/07, Y G [EMAIL PROTECTED] wrote: Hi, I am looking for documentation, reference guides, etc. that explain the output of functions... For example using cor.test(, method=pearson) with Pearson's corr coeff the output is: Pearson's product-moment correlation data: a and b t = 0.2878, df = 14, p-value = 0. alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.4355690 0.5514366 sample estimates: cor 0.07669612 What are all these? Apologies but I am new in R and statistics in general but a textbook I was looking at, regarding SPSS, explains only the r coeff and the conf interval Any help with sources I can refer to? Particularly in a broader context as it would not be nice to post all the time such questions... Thanks in advance, GM -- Sarah Goslee http://www.functionaldiversity.org __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] help interpreting the output of functions - any sources of information
On 24/04/07, Sarah Goslee [EMAIL PROTECTED] wrote: Hi, If you look at the documentation for the function you are interested in, in this case ?cor.test, it will generally give you an explanation of the return values (often brief, and not too helpful if you aren't already familiar with the test), but also one or more references that you can turn to for further information. Most likely, though, you'll want to absorb a general introductory stats book before you delve into the gory details of many of those references. Sarah Thanks for the hint, that will do... On 4/24/07, Y G [EMAIL PROTECTED] wrote: Hi, I am looking for documentation, reference guides, etc. that explain the output of functions... For example using cor.test(, method=pearson) with Pearson's corr coeff the output is: Pearson's product-moment correlation data: a and b t = 0.2878, df = 14, p-value = 0. alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.4355690 0.5514366 sample estimates: cor 0.07669612 What are all these? Apologies but I am new in R and statistics in general but a textbook I was looking at, regarding SPSS, explains only the r coeff and the conf interval Any help with sources I can refer to? Particularly in a broader context as it would not be nice to post all the time such questions... Thanks in advance, GM -- Sarah Goslee http://www.functionaldiversity.org [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
