Hi everybody,
I have a data set that looks like this: CASE_LBL var001 var002 var003 var004 var005 var006 var007 var008 var009 var010 var011 var012 @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 72 28 125 @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 30.33 122 @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 69.92 30.08 123 @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 78.33 70 30 120 @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 69.92 30.08 123 @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 71.31 28.69 122 @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 70.83 29.17 120 @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 74.17 74.17 25.83 120 @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 76.38 71.65 28.35 127 @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 24.79 75.21 70.25 29.75 121 @11.00 30.08 69.92 3.25 21.14 19.51 17.89 38.21 24.39 75.61 72.36 27.64 123 @12.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @13.00 30.83 69.17 3.33 18.33 20 19.17 39.17 21.67 78.33 68.33 31.67 120 @14.00 28.69 71.31 4.1 20.49 18.85 18.03 38.52 24.59 75.41 72.95 27.05 122 @15.00 30.08 69.92 4.07 20.33 17.89 18.7 39.02 24.39 75.61 71.54 28.46 123 @16.00 30.89 69.11 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @17.00 28.93 71.07 4.13 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 121 @18.00 32.06 67.94 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 131 @19.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 @20.00 28.33 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 120 @21.00 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 122 @22.00 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 mean 29.84 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 and I would like to have a vector of 242 elements (number @cases=11*number of variables=12) in which to store the following values: first element = 29.84*125/2694 2nd element = 29.84*122/2694 3rd element = 29.84*123/2694 ............. 11th element = 29.84*120/2694 12th element = 70.16*125/2694 13th element = 70.16*122/2694 ............ 22th element = 70.16*120/2694 ........... 241th element = 28.69*122/2694 242th element = 28.69*120/2694 does anyone have any suggestions? Many thanks. -- Vlad Simion Data Analyst Tel: +40 720130611 |
Hi Vlad,
There seem to be some inconsistencies in your question, as 11 * 12 is 132 and not 242 and your data has 22 cases and not 11 cases. Since 22 * 11 is equal to 242, I suppose that you think about 22 cases. My solution is not the most elegant one, but I tried to write it as clear as possible: Prepare the data, connect them in a simple way and use the common vector-loop trick. You can save the resulting variables prod1 to prod242 and merge them to the original file or whatever you wish. Greetings Jan data list free (" ", TAB) / CASE_LBL (a6) var001 (comma5.2) var002 (comma5.2) var003 (comma5.2) var004 (comma5.2) var005 (comma5.2) var006 (comma5.2) var007 (comma5.2) var008 (comma5.2) var009 (comma5.2) var010 (comma5.2) var011 (comma5.2) var012 (comma5.2) . begin data. @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 72 28 125 @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 30.33 122 @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 69.92 30.08 123 @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 78.33 70 30 120 @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 69.92 30.08 123 @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 71.31 28.69 122 @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 70.83 29.17 120 @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 74.17 74.17 25.83 120 @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 76.38 71.65 28.35 127 @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 24.79 75.21 70.25 29.75 121 @11.00 30.08 69.92 3.25 21.14 19.51 17.89 38.21 24.39 75.61 72.36 27.64 123 @12.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @13.00 30.83 69.17 3.33 18.33 20 19.17 39.17 21.67 78.33 68.33 31.67 120 @14.00 28.69 71.31 4.1 20.49 18.85 18.03 38.52 24.59 75.41 72.95 27.05 122 @15.00 30.08 69.92 4.07 20.33 17.89 18.7 39.02 24.39 75.61 71.54 28.46 123 @16.00 30.89 69.11 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @17.00 28.93 71.07 4.13 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 121 @18.00 32.06 67.94 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 131 @19.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 @20.00 28.33 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 120 @21.00 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 122 @22.00 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 mean 29.84 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 end data. exe. save outfile = "origdata.sav". select if CASE_LBL = "mean ". rename var (var001 to var012 = m1 to m12). save outfile = "meanrow.sav" /keep m1 to m11. get file = "origdata.sav" /keep CASE_LBL var012. temp. select if CASE_LBL = "mean ". save outfile = "grandmean.sav" /keep var012 /rename var012 = grandmean. get file = "origdata.sav" /keep CASE_LBL var012. select if CASE_LBL ne "mean ". FLIP VARIABLES=var012 /NEWNAME=CASE_LBL . ren var (@1.00 to @22.00 = marg1 to marg22). save outfile = "marginals.sav" /drop CASE_LBL . get file = "meanrow.sav" . MATCH FILES /FILE=* /FILE="grandmean.sav" /FILE="marginals.sav" . EXECUTE. * end of data preparation. vector m = m1 to m11. vector marg = marg1 to marg22. vector prod (242). loop #i = 1 to 11. loop #j = 1 to 22. compute prod(22 * (#i - 1) + #j) = m(#i) * marg(#j) / grandmean. end loop. end loop. exe. -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of vlad simion Sent: Thursday, November 16, 2006 12:29 PM To: [hidden email] Subject: Problem with vectors Hi everybody, I have a data set that looks like this: CASE_LBL var001 var002 var003 var004 var005 var006 var007 var008 var009 var010 var011 var012 @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 72 28 125 @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 30.33 122 @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 69.92 30.08 123 @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 78.33 70 30 120 @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 69.92 30.08 123 @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 71.31 28.69 122 @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 70.83 29.17 120 @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 74.17 74.17 25.83 120 @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 76.38 71.65 28.35 127 @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 24.79 75.21 70.25 29.75 121 @11.00 30.08 69.92 3.25 21.14 19.51 17.89 38.21 24.39 75.61 72.36 27.64 123 @12.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @13.00 30.83 69.17 3.33 18.33 20 19.17 39.17 21.67 78.33 68.33 31.67 120 @14.00 28.69 71.31 4.1 20.49 18.85 18.03 38.52 24.59 75.41 72.95 27.05 122 @15.00 30.08 69.92 4.07 20.33 17.89 18.7 39.02 24.39 75.61 71.54 28.46 123 @16.00 30.89 69.11 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @17.00 28.93 71.07 4.13 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 121 @18.00 32.06 67.94 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 131 @19.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 @20.00 28.33 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 120 @21.00 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 122 @22.00 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 mean 29.84 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 and I would like to have a vector of 242 elements (number @cases=11*number of variables=12) in which to store the following values: first element = 29.84*125/2694 2nd element = 29.84*122/2694 3rd element = 29.84*123/2694 ............. 11th element = 29.84*120/2694 12th element = 70.16*125/2694 13th element = 70.16*122/2694 ............ 22th element = 70.16*120/2694 ........... 241th element = 28.69*122/2694 242th element = 28.69*120/2694 does anyone have any suggestions? Many thanks. -- Vlad Simion Data Analyst Tel: +40 720130611 |
Hi Jan,
thanks for your reply. sorry my mistake, I have indeed 22 cases. I tried your code and it runs perfect with no errorrs or warnings, but it does not give any figures for vector prod in the database. anyway I manage to do this with matrix language. here is the code, in case someone has any ideea how it can be optimized. matrix. get x /var= var001 var002 var003 var004 var005 var006 var007 var008 var009 var010 var011 var012. compute y=make(ncol(x)-1,nrow(x)-1,0). compute base=x(nrow(x),ncol(x)). loop i=1 to 11. loop j=1 to 22. compute a=x(nrow(x),i). compute d=x(j,ncol(x)). compute y(i,j)=a*d/base. end loop. end loop. print y. end matrix. many thanks once again Cheers. vlad. On 11/16/06, Spousta Jan <[hidden email]> wrote: > > Hi Vlad, > > There seem to be some inconsistencies in your question, as 11 * 12 is > 132 and not 242 and your data has 22 cases and not 11 cases. Since 22 * > 11 is equal to 242, I suppose that you think about 22 cases. > > My solution is not the most elegant one, but I tried to write it as > clear as possible: Prepare the data, connect them in a simple way and > use the common vector-loop trick. > > You can save the resulting variables prod1 to prod242 and merge them to > the original file or whatever you wish. > > Greetings > > Jan > > data list free (" ", TAB) / CASE_LBL (a6) var001 (comma5.2) > var002 (comma5.2) var003 (comma5.2) var004 (comma5.2) var005 (comma5.2) > var006 (comma5.2) > var007 (comma5.2) var008 (comma5.2) var009 (comma5.2) var010 (comma5.2) > var011 (comma5.2) > var012 (comma5.2) . > begin data. > @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 72 28 125 > @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 30.33 > 122 > @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 69.92 30.08 > 123 > @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 78.33 70 30 120 > @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 69.92 30.08 123 > > @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 71.31 28.69 > 122 > @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 70.83 29.17 120 > @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 74.17 74.17 25.83 120 > @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 76.38 71.65 28.35 > 127 > @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 24.79 75.21 70.25 29.75 > 121 > @11.00 30.08 69.92 3.25 21.14 19.51 17.89 38.21 24.39 75.61 72.36 27.64 > 123 > @12.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 > @13.00 30.83 69.17 3.33 18.33 20 19.17 39.17 21.67 78.33 68.33 31.67 120 > > @14.00 28.69 71.31 4.1 20.49 18.85 18.03 38.52 24.59 75.41 72.95 27.05 > 122 > @15.00 30.08 69.92 4.07 20.33 17.89 18.7 39.02 24.39 75.61 71.54 28.46 > 123 > @16.00 30.89 69.11 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 > @17.00 28.93 71.07 4.13 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 > 121 > @18.00 32.06 67.94 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 > 131 > @19.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 > @20.00 28.33 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 > 120 > @21.00 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 > 122 > @22.00 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 > mean 29.84 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 > end data. > exe. > save outfile = "origdata.sav". > > select if CASE_LBL = "mean ". > rename var (var001 to var012 = m1 to m12). > save outfile = "meanrow.sav" /keep m1 to m11. > > get file = "origdata.sav" /keep CASE_LBL var012. > temp. > select if CASE_LBL = "mean ". > save outfile = "grandmean.sav" /keep var012 /rename var012 = grandmean. > > get file = "origdata.sav" /keep CASE_LBL var012. > select if CASE_LBL ne "mean ". > FLIP VARIABLES=var012 /NEWNAME=CASE_LBL . > ren var (@1.00 to @22.00 = marg1 to marg22). > save outfile = "marginals.sav" /drop CASE_LBL . > > get file = "meanrow.sav" . > MATCH FILES /FILE=* > /FILE="grandmean.sav" /FILE="marginals.sav" . > EXECUTE. > > * end of data preparation. > vector m = m1 to m11. > vector marg = marg1 to marg22. > vector prod (242). > loop #i = 1 to 11. > loop #j = 1 to 22. > compute prod(22 * (#i - 1) + #j) = m(#i) * marg(#j) / grandmean. > end loop. > end loop. > > exe. > > > > -----Original Message----- > From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of > vlad simion > Sent: Thursday, November 16, 2006 12:29 PM > To: [hidden email] > Subject: Problem with vectors > > Hi everybody, > I have a data set that looks like this: > > CASE_LBL var001 var002 var003 var004 var005 var006 var007 var008 > var009 > var010 var011 var012 @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 > 72 28 > 125 @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 > 30.33 122 @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 > 69.92 30.08 123 @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 > 78.33 > 70 30 120 @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 > 69.92 > 30.08 123 @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 > 71.31 28.69 122 @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 > 70.83 29.17 120 @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 > 74.17 > 74.17 25.83 120 @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 > 76.38 71.65 28.35 127 @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 > 24.79 75.21 70.25 29.75 121 @11.00 30.08 69.92 3.25 21.14 19.51 17.89 > 38.21 24.39 75.61 72.36 27.64 123 @12.00 30.08 69.92 4.07 21.14 18.7 > 18.7 > 37.4 25.2 74.8 69.92 30.08 123 @13.00 30.83 69.17 3.33 18.33 20 19.17 > 39.17 21.67 78.33 68.33 31.67 120 @14.00 28.69 71.31 4.1 20.49 18.85 > 18.03 38.52 24.59 75.41 72.95 27.05 122 @15.00 30.08 69.92 4.07 20.33 > 17.89 18.7 39.02 24.39 75.61 71.54 28.46 123 @16.00 30.89 69.11 4.07 > 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @17.00 28.93 71.07 > 4.13 > 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 121 @18.00 32.06 > 67.94 > 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 131 @19.00 30.08 > 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 @20.00 > 28.33 > 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 120 @21.00 > 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 122 > @22.00 > 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 mean > 29.84 > 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 and I would > like to have a vector of 242 elements (number @cases=11*number of > variables=12) in which to store the following values: > first element = 29.84*125/2694 > 2nd element = 29.84*122/2694 > 3rd element = 29.84*123/2694 > ............. > 11th element = 29.84*120/2694 > 12th element = 70.16*125/2694 > 13th element = 70.16*122/2694 > ............ > 22th element = 70.16*120/2694 > ........... > 241th element = 28.69*122/2694 > 242th element = 28.69*120/2694 > > does anyone have any suggestions? > > Many thanks. > > -- > Vlad Simion > Data Analyst > Tel: +40 720130611 > -- Vlad Simion Data Analyst Tel: +40 720130611 |
In reply to this post by vlad simion
:-)
The problem is perhaps that you demanded a "vector" (=one-dimensional structure) which I provided to you, but your matrix syntax indeed computes a matrix (=two dimensional structire). On this list, you very often get exactly what you demand. Greetings Jan -----Original Message----- From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of vlad simion Sent: Thursday, November 16, 2006 4:46 PM To: [hidden email] Subject: Re: Problem with vectors Hi Jan, thanks for your reply. sorry my mistake, I have indeed 22 cases. I tried your code and it runs perfect with no errorrs or warnings, but it does not give any figures for vector prod in the database. anyway I manage to do this with matrix language. here is the code, in case someone has any ideea how it can be optimized. matrix. get x /var= var001 var002 var003 var004 var005 var006 var007 var008 var009 var010 var011 var012. compute y=make(ncol(x)-1,nrow(x)-1,0). compute base=x(nrow(x),ncol(x)). loop i=1 to 11. loop j=1 to 22. compute a=x(nrow(x),i). compute d=x(j,ncol(x)). compute y(i,j)=a*d/base. end loop. end loop. print y. end matrix. many thanks once again Cheers. vlad. On 11/16/06, Spousta Jan <[hidden email]> wrote: > > Hi Vlad, > > There seem to be some inconsistencies in your question, as 11 * 12 is > 132 and not 242 and your data has 22 cases and not 11 cases. Since 22 > * > 11 is equal to 242, I suppose that you think about 22 cases. > > My solution is not the most elegant one, but I tried to write it as > clear as possible: Prepare the data, connect them in a simple way and > use the common vector-loop trick. > > You can save the resulting variables prod1 to prod242 and merge them > to the original file or whatever you wish. > > Greetings > > Jan > > data list free (" ", TAB) / CASE_LBL (a6) var001 (comma5.2) > var002 (comma5.2) var003 (comma5.2) var004 (comma5.2) var005 > (comma5.2) > var006 (comma5.2) > var007 (comma5.2) var008 (comma5.2) var009 (comma5.2) var010 > (comma5.2) > var011 (comma5.2) > var012 (comma5.2) . > begin data. > @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 72 28 125 @2.00 29.51 > 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 69.67 30.33 > 122 > @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 69.92 30.08 > 123 > @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 78.33 70 30 120 > @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 69.92 30.08 > 123 > > @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 71.31 28.69 > 122 > @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 70.83 29.17 120 > @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 74.17 74.17 25.83 120 > @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 76.38 71.65 28.35 > 127 > @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 24.79 75.21 70.25 > 29.75 > 121 > @11.00 30.08 69.92 3.25 21.14 19.51 17.89 38.21 24.39 75.61 72.36 > 27.64 > 123 > @12.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 > @13.00 30.83 69.17 3.33 18.33 20 19.17 39.17 21.67 78.33 68.33 31.67 > 120 > > @14.00 28.69 71.31 4.1 20.49 18.85 18.03 38.52 24.59 75.41 72.95 27.05 > 122 > @15.00 30.08 69.92 4.07 20.33 17.89 18.7 39.02 24.39 75.61 71.54 28.46 > 123 > @16.00 30.89 69.11 4.07 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 > @17.00 28.93 71.07 4.13 21.49 19.01 18.18 37.19 25.62 74.38 69.42 > 30.58 > 121 > @18.00 32.06 67.94 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 > 131 > @19.00 30.08 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 > @20.00 28.33 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 > 26.67 120 @21.00 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 > 74.59 25.41 > 122 > @22.00 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 > mean 29.84 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 > 2694 end data. > exe. > save outfile = "origdata.sav". > > select if CASE_LBL = "mean ". > rename var (var001 to var012 = m1 to m12). > save outfile = "meanrow.sav" /keep m1 to m11. > > get file = "origdata.sav" /keep CASE_LBL var012. > temp. > select if CASE_LBL = "mean ". > save outfile = "grandmean.sav" /keep var012 /rename var012 = > > get file = "origdata.sav" /keep CASE_LBL var012. > select if CASE_LBL ne "mean ". > FLIP VARIABLES=var012 /NEWNAME=CASE_LBL . > ren var (@1.00 to @22.00 = marg1 to marg22). > save outfile = "marginals.sav" /drop CASE_LBL . > > get file = "meanrow.sav" . > MATCH FILES /FILE=* > /FILE="grandmean.sav" /FILE="marginals.sav" . > EXECUTE. > > * end of data preparation. > vector m = m1 to m11. > vector marg = marg1 to marg22. > vector prod (242). > loop #i = 1 to 11. > loop #j = 1 to 22. > compute prod(22 * (#i - 1) + #j) = m(#i) * marg(#j) / grandmean. > end loop. > end loop. > > exe. > > > > -----Original Message----- > From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf > Of vlad simion > Sent: Thursday, November 16, 2006 12:29 PM > To: [hidden email] > Subject: Problem with vectors > > Hi everybody, > I have a data set that looks like this: > > CASE_LBL var001 var002 var003 var004 var005 var006 var007 var008 > var009 > var010 var011 var012 @1.00 28 72 4.8 21.6 19.2 19.2 35.2 26.4 73.6 > 72 28 > 125 @2.00 29.51 70.49 2.46 21.31 19.67 18.03 38.52 23.77 76.23 > 30.33 122 @3.00 30.89 69.11 4.07 20.33 18.7 20.33 36.59 24.39 75.61 > 69.92 30.08 123 @4.00 28.33 71.67 2.5 19.17 19.17 21.67 37.5 21.67 > 78.33 > 70 30 120 @5.00 30.08 69.92 4.07 20.33 19.51 18.7 37.4 24.39 75.61 > 69.92 > 30.08 123 @6.00 29.51 70.49 3.28 21.31 19.67 18.03 37.7 24.59 75.41 > 71.31 28.69 122 @7.00 30 70 3.33 20.83 19.17 18.33 38.33 24.17 75.83 > 70.83 29.17 120 @8.00 32.5 67.5 4.17 21.67 15.83 18.33 40 25.83 > 74.17 > 74.17 25.83 120 @9.00 27.56 72.44 3.94 19.69 18.11 19.69 38.58 23.62 > 76.38 71.65 28.35 127 @10.00 29.75 70.25 4.13 20.66 19.01 19.01 37.19 > 24.79 75.21 70.25 29.75 121 @11.00 30.08 69.92 3.25 21.14 19.51 17.89 > 38.21 24.39 75.61 72.36 27.64 123 @12.00 30.08 69.92 4.07 21.14 18.7 > 18.7 > 37.4 25.2 74.8 69.92 30.08 123 @13.00 30.83 69.17 3.33 18.33 20 19.17 > 39.17 21.67 78.33 68.33 31.67 120 @14.00 28.69 71.31 4.1 20.49 18.85 > 18.03 38.52 24.59 75.41 72.95 27.05 122 @15.00 30.08 69.92 4.07 20.33 > 17.89 18.7 39.02 24.39 75.61 71.54 28.46 123 @16.00 30.89 69.11 4.07 > 21.14 18.7 18.7 37.4 25.2 74.8 69.92 30.08 123 @17.00 28.93 71.07 > 4.13 > 21.49 19.01 18.18 37.19 25.62 74.38 69.42 30.58 121 @18.00 32.06 > 67.94 > 3.82 20.61 20.61 17.56 37.4 24.43 75.57 70.23 29.77 131 @19.00 30.08 > 69.92 4.07 21.14 18.7 18.7 37.4 25.2 74.8 70.73 29.27 123 @20.00 > 28.33 > 71.67 4.17 19.17 19.17 19.17 38.33 23.33 76.67 73.33 26.67 120 @21.00 > 30.33 69.67 4.92 21.31 19.67 18.03 36.07 26.23 73.77 74.59 25.41 122 > @22.00 > 30 70 4.17 17.5 19.17 18.33 40.83 21.67 78.33 75.83 24.17 120 mean > 29.84 > 70.16 3.86 20.48 19 18.75 37.91 24.34 75.66 71.31 28.69 2694 and I > would like to have a vector of 242 elements (number @cases=11*number > of > variables=12) in which to store the following values: > first element = 29.84*125/2694 > 2nd element = 29.84*122/2694 > 3rd element = 29.84*123/2694 > ............. > 11th element = 29.84*120/2694 > 12th element = 70.16*125/2694 > 13th element = 70.16*122/2694 > ............ > 22th element = 70.16*120/2694 > ........... > 241th element = 28.69*122/2694 > 242th element = 28.69*120/2694 > > does anyone have any suggestions? > > Many thanks. > > -- > Vlad Simion > Data Analyst > Tel: +40 720130611 > -- Vlad Simion Data Analyst Tel: +40 720130611 |
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