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POselecting n consequent grouped variables and apply the function in r
 

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  1. POselecting n consequent grouped variables and apply the function in r
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    <p>Here is example data:</p> <pre><code> myd &lt;- data.frame (matrix (sample (c("AB", "BB", "AA"), 100*100, replace = T), ncol = 100)) variablenames= paste (rep (paste ("MR.", 1:10,sep = ""), each = 10), 1:100, sep = ".") names(myd) &lt;- variablenames </code></pre> <p>Each variable has a group, here we have ten groups. Thus the group index for the each variable in this data frame is as follows: </p> <pre><code>group &lt;- rep(1:10, each = 10) </code></pre> <p>Thus Variable names and group </p> <pre><code> data.frame (group, variablenames) group variablenames 1 1 MR.1.1 2 1 MR.1.2 3 1 MR.1.3 4 1 MR.1.4 5 1 MR.1.5 6 1 MR.1.6 7 1 MR.1.7 8 1 MR.1.8 9 1 MR.1.9 10 1 MR.1.10 11 2 MR.2.11 &lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt; 100 10 MR.10.100 </code></pre> <p>Each groups means that the following steps whould be applied to group of variables seperately. </p> <p>I have longer function to work the following is short example:</p> <p>function considering two variables at time </p> <pre><code>myfun &lt;- function (x1, x2) { out &lt;- NULL out &lt;- paste(x1, x2, sep=":") # for other steps to be performed here return (out) } # group 1 myfun (myd[,1], myd[,2]); myfun (myd[,3], myd[,4]); myfun (myd[,5], myd[,6]); myfun (myd[,7], myd[,8]); myfun (myd[,9], myd[,10]); # group 2 myfun (myd[,11], myd[,12]); myfun (myd[,13], myd[,14]); .......so on to group 10 ; </code></pre> <p>In this way I need to walk for variables 1:10 (i.e. in first group to perform the above action), then 11:20 (the second group). The group doesnot matter in this case number of variables in each group are divisible with number of variables (10) taken (considered) at a time (2).</p> <p>However in the following example where 3 variables taken at a time - number of total variable in each group (3), 10/3, you have one variable left over at the end. </p> <p>function considering three variable at time. </p> <pre><code>myfun &lt;- function (x1, x2, x3) { out &lt;- NULL out &lt;- paste(x1, x2, x3, sep=":") # for other steps to be performed here return (out) } # for group 1 myfun (myd[,1], myd[,2], myd[,3]) myfun (myd[,4], myd[,5], myd[,6]) myfun (myd[,7], myd[,8], myd[,9]) # As there one variable left before proceedomg to second group, the final group will have 1 extra variable myfun (myd[,7], myd[,8], myd[,9],myd[,10] ) # for group 2 myfun (myd[,11], myd[,12], myd[,13]) # and to the end all groups and to end of the file. </code></pre> <p>I want to loop this process by user defined n number of variables consered at time, where n may be 1 to maximum number of variables in each group. </p> <p><strong>Edit: Just illustration to show the process (just group 1 and 2 demostrated for example):</strong></p> <p><img src="https://i.stack.imgur.com/kYUMf.jpg" alt="enter image description here"></p>
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    1. COwhile no definite answere are comming just an idea - you can create name of variable namesmat <- matrix(names(myd), nrow = length(myd) / n, byrow=TRUE ), then apply function with myd and this matrix, but I am not sure about unbalanced data...
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