data.table - how to find outliers in multiple rows when the first column is in id form in R -

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i have data looks this

mem_id age1 age2 age3 age4 age5 age6 age7 age8 age9 age10 1       3     5    5   6     7   8     9   10    11  15 2       5     6    7   8     10  10    11   11   12  13 3       7     7    7   7     8    8     8    9    9   9 4       8     8    8   8     8    8     9    9    9   9  5       12    13   14  9    15   16    16   16   16  16

i want find out outliers in each row using criteria value of element in row particular mem_id not in range of q1-1.5*inter quartile range,q3-1.5*inter quartile range q1 first quartile , q3 third quartile classify has outlier

so want output 

mem_id  outliers   1      age2 3, age1 5   2       age3 6,age4 7

that output tell me location of outliers , value of outliers each mem_id.

probably not after (though bit confused still output should like) code create true / false grid outlying values have true value , in-lying values have false value

x <- c (1    ,   3 ,    5  ,  5  , 6  ,   7   , 8  ,   9  , 10 ,   11 , 15, 2     ,  5  ,   6  ,  7  , 8  ,   10  ,10  ,  11  , 11 ,  12  ,13, 3    ,   7 ,    7  ,  7  , 7  ,   8   , 8  ,   8  ,  9 ,   9  , 9, 4   ,    8   ,  8  ,  8  , 8  ,   8   , 8  ,   9  ,  9 ,   9  , 9 , 5    ,   12  ,  13 ,  14 , 9  ,  15   ,16  ,  16  , 16 ,  16  ,16)   mat <- matrix(x , byrow = t , ncol = 11)  mat2 <- mat[ ,-1 ]   <- apply( mat2 , 1 , iqr) m <- apply( mat2 , 1 , mean )  upper <- sweep(mat2 , 1 ,  m + 1.5* , ">") lower <- sweep(mat2 , 1 ,  m - 1.5* , "<")  (outlie <- upper | lower)

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