How to create a matrix in R using the rows and column data? -


i new r , used refer lot here in stackoverflow. compare each rows , columns , create matrix.

data line_name   marker_name    genodata   generation line_a      marker_1       aa         f7 line_a      marker_2       tt         f7 line_a      marker_3       cc         f7 line_b      marker_1       tt         f7 line_b      marker_3       @         f6 line_b      marker_3       aa         f7 line_c      marker_2       aa         f7 line_c      marker_2       --         f8 line_d      marker_1       --         f7 line_d      marker_1       aa         f8 line_d      marker_4       aa         f8

i 

         [,marker_1] [,marker_2] [,marker_3] [,marker_4]  [line_a]     aa             tt         cc         -- [line_b]     tt             --         aa         -- [line_c]     --             aa         --         -- [line_d]     aa             --         --         aa

please me !

i have edited question additional rules should implemented

rule 1: if line has same marker repeated 2 or more , geno data different, need check generation column , pick latest generation. in example line b, marker_3 has 2 different genodata @ , aa. based on generation aa should override at

rule 2: if if line has same marker repeated 2 or more , geno data missing despite of generation, available data should override --. in example line c, marker_2 has genodata aa , --. aa should override --. similarity line d, marker_1 has genodata -- , aa. aa should override --.

thanks

you can create matrix rownames , colnames in first 2 columns of data, use matrix indexing of matrix fill in data:

m <- matrix(,nrow=length(unique(x[,1])), ncol=length(unique(x[,2]))) rownames(m) <- unique(x[,1]) colnames(m) <- unique(x[,2]) m[as.matrix(x[,1:2])] <- as.character(x[,3]) m        marker_1 marker_2 marker_3 marker_4 line_a "aa"     "tt"     "cc"     na       line_b "tt"     na       "aa"     na       line_c na       "aa"     na       na       line_d "aa"     na       na       "aa"

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