search for: clolumn

...) :rows 4:6 and so on). I can do the analysis for the entire column but not group by group like this : MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. I have another sheet contains names of columns of interest li...

...I can do the analysis for the entire column but not group by group like this : > > > MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) > > How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. > > In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. > I have another sheet contains names of columns...

...gt; I can do the analysis for the entire column but not group by group like this : > > > MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) > > How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. > > In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. > I have another sheet contains names of columns...

...or the entire column but not group by group like this : > > > > > > MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) > > > > How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. > > > > In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. > > I have another sheet contains n...

...for the entire column but not group by group like this : > > > > > > MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) > > > > How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. > > > > In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. > > I have another sheet contains na...

...olumn but not group by group like this : >>> >>> >>> MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) >>> >>> How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. >>> >>> In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. >>> I have another sheet c...

...e column but not group by group like this : >>> >>> >>> MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) >>> >>> How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. >>> >>> In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. >>> I have another sheet co...

...up by group like this : >>>> >>>> >>>> MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) >>>> >>>> How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. >>>> >>>> In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. >>>> I have anot...

...up by group like this : >>>> >>>> >>>> MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) >>>> >>>> How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. >>>> >>>> In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. >>>> I have anot...

...oup like this : > >>> > >>> > >>> MAF <- apply(MyData[,4:600], 2, function(x)maf(tabulate(x+1))) > >>> > >>> How can I modify this code to tell R to do the analysis group by group for each column so I get maf value for 33-55 group of clolumn I, then maf value for group 44-66 in the same column I,then the rest of groups in this column and do the same for the remaining columns. > >>> > >>> In fact, I'm interested in doing this analysis for only 300 columns but all of the 600 columns. > >>> I have...

Dear group, Here is my df : df <- structure(list(DESCRIPTION = c("PRM HGH GD ALUMINIUM USD 09/07/10 ", "PRM HGH GD ALUMINIUM USD 09/07/10 ", "PRIMARY NICKEL USD 04/06/10 " ), CREATED.DATE = structure(c(18361, 18361, 18325), class = "Date"), QUANITY = c(-1L, 1L, 1L), CLOSING.PRICE = c("2,415.90", "2,415.90",