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hsum

Name

hsum : Horizontal sum.

Synopsis

Usage   : hsum [-d<str>] [+<n>h] [num=<n>] <file>

Version : Tue Jul 19 16:00:07 JST 2016

Edition : 1

Description

This tool sums up all of the fields in each record of <file> and

adds the sum as a field to the end of each record. It sums all

fields starting with the (<n> + 1)th field to the last field in the

record, and adds the sum as a field at the end of the record. If

"num=<n>" is omitted, "num=0" is assumed.

If "-d<str>" option is specified, fields which value is "<str>" are

treated as "0".

Example 1

(Original Data:data1) ID Name Age Gender A B C D E

$ fcols data1

0000000 Smith______ 50 F 91 59 20 76 54

0000001 Jones______ 50 F 46 39  8 5 21

0000003 Wilson_____ 26 F 30 50 71 36 30

0000004 Drake______ 40 M 58 71 20 10  6

0000005 Hawking____ 50 F 82 79 16 21 80

0000007 Newton_____ 42 F 50  2 33 15 62

Grades per class (all fields starting from the 5th field)

are summed and the sum is added to the end of the record.

$ hsum num=4 data1 | fcols

0000000 Smith______ 50 F 91 59 20 76 54 300

0000001 Jones______ 50 F 46 39  8 5 21 119

0000003 Wilson_____ 26 F 30 50 71 36 30 217

0000004 Drake______ 40 M 58 71 20 10  6 165

0000005 Hawking____ 50 F 82 79 16 21 80 278

0000007 Newton_____ 42 F 50  2 33 15 62 162

                      ^^^Sum of fields 5 - 9

Example 2

"+<n>h" option:

The top <n> records are treated as the header lines. The header lines

are added "@" instead of the sum. The first line is treated as header

line when <n> is omitted.

(Original Data:data2)

$ fcols data2

     ID        Name Age Gender A B C D E

0000000 Smith______  50      F 91 59 20 76 54

0000001 Jones______  50      F 46 39 8 5 21

0000003 Wilson_____  26      F 30 50 71 36 30

0000004 Drake______  40      M 58 71 20 10 6

0000005 Hawking____  50      F 82 79 16 21 80

0000007 Newton_____  42      F 50 2 33 15 62

Grades per class (all fields starting from the 5th field)

are summed and the sum is added to the end of the record,

skipping the first row.

$ hsum +h num=4 data2 | fcols

     ID        Name Age Gender A B C D E   @ <- "@" is added to first row

0000000 Smith______  50      F 91 59 20 76 54 300

0000001 Jones______  50      F 46 39 8 5 21 119

0000003 Wilson_____  26      F 30 50 71 36 30 217

0000004 Drake______  40      M 58 71 20 10 6 165

0000005 Hawking____  50      F 82 79 16 21 80 278

0000007 Newton_____  42      F 50 2 33 15 62 162

                      ^^^Sum of fields 5 - 9