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Top Forums Shell Programming and Scripting How do I use paste command in while condition?? Post 302769912 by nikhil jain on Thursday 14th of February 2013 12:02:20 AM
Old 02-14-2013
How do I use paste command in while condition??

there are lot of files where in mostly all the file contains 2columns
Code:
Code:
Al,1
Ail,13
Al,3
Al,1
Al,3
Al,2
Al,3
Al,1
Al,1
Al,1

My requirement is i wanted only the second column of every file as a column ony in the base file... I used paste command... but it is not helping as I'm using while condition.

Code:
Code:
while read dline
do
while read opline
do
grep $dline Combo_31Jan.csv|grep -i "$opline" |awk -F, '{print $1","$7}'>>combo_operncount.$dline.$opline
done < operator.txt
done < date.txt
while read dline
do
>blank.$dline
while read opline
do
#paste blank.$dline combo_operncount.$dline.$opline >> FC7DFILE.$opline

#mv FC7DFILE.$opline blank.$dline
done < operator.txt
done < date.txt

operator.txt and date.txt contains

Code:
Code:
operator.txt

AEL
AL
TMO
VOE

date.txt

2013-01-28
2013-01-29
2013-01-30
2013-01-31

 

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sgelsx.f(3)							      LAPACK							       sgelsx.f(3)

NAME
sgelsx.f - SYNOPSIS
Functions/Subroutines subroutine sgelsx (M, N, NRHS, A, LDA, B, LDB, JPVT, RCOND, RANK, WORK, INFO) SGELSX solves overdetermined or underdetermined systems for GE matrices Function/Subroutine Documentation subroutine sgelsx (integerM, integerN, integerNRHS, real, dimension( lda, * )A, integerLDA, real, dimension( ldb, * )B, integerLDB, integer, dimension( * )JPVT, realRCOND, integerRANK, real, dimension( * )WORK, integerINFO) SGELSX solves overdetermined or underdetermined systems for GE matrices Purpose: This routine is deprecated and has been replaced by routine SGELSY. SGELSX computes the minimum-norm solution to a real linear least squares problem: minimize || A * X - B || using a complete orthogonal factorization of A. A is an M-by-N matrix which may be rank-deficient. Several right hand side vectors b and solution vectors x can be handled in a single call; they are stored as the columns of the M-by-NRHS right hand side matrix B and the N-by-NRHS solution matrix X. The routine first computes a QR factorization with column pivoting: A * P = Q * [ R11 R12 ] [ 0 R22 ] with R11 defined as the largest leading submatrix whose estimated condition number is less than 1/RCOND. The order of R11, RANK, is the effective rank of A. Then, R22 is considered to be negligible, and R12 is annihilated by orthogonal transformations from the right, arriving at the complete orthogonal factorization: A * P = Q * [ T11 0 ] * Z [ 0 0 ] The minimum-norm solution is then X = P * Z**T [ inv(T11)*Q1**T*B ] [ 0 ] where Q1 consists of the first RANK columns of Q. Parameters: M M is INTEGER The number of rows of the matrix A. M >= 0. N N is INTEGER The number of columns of the matrix A. N >= 0. NRHS NRHS is INTEGER The number of right hand sides, i.e., the number of columns of matrices B and X. NRHS >= 0. A A is REAL array, dimension (LDA,N) On entry, the M-by-N matrix A. On exit, A has been overwritten by details of its complete orthogonal factorization. LDA LDA is INTEGER The leading dimension of the array A. LDA >= max(1,M). B B is REAL array, dimension (LDB,NRHS) On entry, the M-by-NRHS right hand side matrix B. On exit, the N-by-NRHS solution matrix X. If m >= n and RANK = n, the residual sum-of-squares for the solution in the i-th column is given by the sum of squares of elements N+1:M in that column. LDB LDB is INTEGER The leading dimension of the array B. LDB >= max(1,M,N). JPVT JPVT is INTEGER array, dimension (N) On entry, if JPVT(i) .ne. 0, the i-th column of A is an initial column, otherwise it is a free column. Before the QR factorization of A, all initial columns are permuted to the leading positions; only the remaining free columns are moved as a result of column pivoting during the factorization. On exit, if JPVT(i) = k, then the i-th column of A*P was the k-th column of A. RCOND RCOND is REAL RCOND is used to determine the effective rank of A, which is defined as the order of the largest leading triangular submatrix R11 in the QR factorization with pivoting of A, whose estimated condition number < 1/RCOND. RANK RANK is INTEGER The effective rank of A, i.e., the order of the submatrix R11. This is the same as the order of the submatrix T11 in the complete orthogonal factorization of A. WORK WORK is REAL array, dimension (max( min(M,N)+3*N, 2*min(M,N)+NRHS )), INFO INFO is INTEGER = 0: successful exit < 0: if INFO = -i, the i-th argument had an illegal value Author: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Date: November 2011 Definition at line 178 of file sgelsx.f. Author Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.1 Sun May 26 2013 sgelsx.f(3)
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