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POChi Square Analysis using for loop in R
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  1. POChi Square Analysis using for loop in R
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    copied!<p>I'm trying to do chi square analysis for all combinations of variables in the data and my code is:</p> <pre><code>Data &lt;- esoph[ , 1:3] OldStatistic &lt;- NA for(i in 1:(ncol(Data)-1)){ for(j in (i+1):ncol(Data)){ Statistic &lt;- data.frame("Row"=colnames(Data)[i], "Column"=colnames(Data)[j], "Chi.Square"=round(chisq.test(Data[ ,i], Data[ ,j])$statistic, 3), "df"=chisq.test(Data[ ,i], Data[ ,j])$parameter, "p.value"=round(chisq.test(Data[ ,i], Data[ ,j])$p.value, 3), row.names=NULL) temp &lt;- rbind(OldStatistic, Statistic) OldStatistic &lt;- Statistic Statistic &lt;- temp } } str(Data) 'data.frame': 88 obs. of 3 variables: $ agegp: Ord.factor w/ 6 levels "25-34"&lt;"35-44"&lt;..: 1 1 1 1 1 1 1 1 1 1 ... $ alcgp: Ord.factor w/ 4 levels "0-39g/day"&lt;"40-79"&lt;..: 1 1 1 1 2 2 2 2 3 3 ... $ tobgp: Ord.factor w/ 4 levels "0-9g/day"&lt;"10-19"&lt;..: 1 2 3 4 1 2 3 4 1 2 ... Statistic Row Column Chi.Square df p.value 1 agegp tobgp 2.400 15 1 2 alcgp tobgp 0.619 9 1 </code></pre> <p>My code gives my the chi square analysis output for variable 1 vs variable 3, and variable 2 vs variable 3 and is missing for variable 1 vs variable 2. I tried hard but could not fixed the code. Any comment and suggestion will be highly appreciated. I'd like like to do cross tabulation for all possible combinations. Thanks in advance.</p> <p><strong>EDIT</strong></p> <p>I used to do this kind of analysis in SPSS but now I want to switch to R.</p>
 

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