Writing Makefile for Statistics::LSNoHistory

Microsoft (R) Program Maintenance Utility Version 7.10.3077
Copyright (C) Microsoft Corporation.  All rights reserved.

cp LSNoHistory.pm blib\lib\Statistics\LSNoHistory.pm

Microsoft (R) Program Maintenance Utility Version 7.10.3077
Copyright (C) Microsoft Corporation.  All rights reserved.

	C:\cpanrun\build\5-10-0\bin\perl.exe "-MExtUtils::Command::MM" "-e" "test_harness(1, 'blib\lib', 'blib\arch')" t/*.t
t/01-basic.......ok 1 - use Statistics::LSNoHistory;
ok 2 - default constructor
ok 3 - correct object type isa Statistics::LSNoHistory
ok 4 - zero values from default const.
ok 5 - nonzero values after point appended
ok 6 - 1pt num check
ok 7 - 1pt sumx check
ok 8 - 1pt sumy check
ok 9 - 1pt sumxx check
ok 10 - 1pt sumyy check
ok 11 - 1pt sumxy check
ok 12 - 1pt x min/max
ok 13 - 1pt y min/max
ok 14 - won't regress 1 point
ok 15 - nonzero values after 2-points
ok 16 - 2pt num check
ok 17 - 2pt sumx check
ok 18 - 2pt sumy check
ok 19 - 2pt sumxx check
ok 20 - 2pt sumyy check
ok 21 - 2pt sumxy check
ok 22 - 2pt minx check
ok 23 - 2pt maxx check
ok 24 - 2pt miny check
ok 25 - 2pt maxy check
ok 26 - 2py x average check
ok 27 - 2pt y average check
ok 28 - 2pt x variance check
ok 29 - 2pt y variance check
ok 30 - 2pt slope check
ok 31 - 2pt intercept check
ok 32 - 2pt y-slope check
ok 33 - 2pt y-intercept check
ok 34 - 2pt Pearson r check (perfect correlation)
ok 35 - 2pt chi squared check
ok 36 - x and y array value constructor
ok 37 - correct object type isa Statistics::LSNoHistory
ok 38 - nonzero values from constructor
ok 39 - (x,y) point array constructor
ok 40 - correct object type isa Statistics::LSNoHistory
ok 41 - nonzero values from constructor
ok 42 - the 2 array constructors are equivalent
ok 43 - non-perfect correlation
ok 44 - regression method average_x agree
ok 45 - regression method average_y agree
ok 46 - regression method variance_x agree
ok 47 - regression method variance_y agree
ok 48 - regression method slope agree
ok 49 - regression method intercept agree
ok 50 - regression method slope_y agree
ok 51 - regression method intercept_y agree
ok 52 - regression method pearson_r agree
ok 53 - regression method chi_squared agree
ok 54 - regression method minimum_x agree
ok 55 - regression method maximum_x agree
ok 56 - regression method minimum_y agree
# $r2->average_x = 4.030000
ok 57 - regression method maximum_y agree
# $r2->average_y = 4.092818
# $r2->variance_x = 9.724556
# $r2->variance_y = 2.027785
# $r2->slope = 0.456553
# $r2->intercept = 2.252910
# $r2->slope_y = 2.189470
# $r2->intercept_y = -4.931102
# $r2->pearson_r = 0.999804
# $r2->chi_squared = 0.007137
# $r2->minimum_x = 0.200000
# $r2->maximum_x = 9.100000
# $r2->minimum_y = 2.290909
# $r2->maximum_y = 6.406364
ok 58 - correct object type isa Statistics::LSNoHistory
# $r4->average_x = 4.370000
ok 59 - perfect correlation to 6 digits
# $r4->average_y = 0.213636
# $r4->variance_x = 9.444556
# $r4->variance_y = 1.951354
# $r4->slope = -0.454545
# $r4->intercept = 2.200000
# $r4->slope_y = -2.200000
# $r4->intercept_y = 4.840000
# $r4->pearson_r = -1.000000
# $r4->chi_squared = -0.000000
# $r4->minimum_x = 1.100000
# $r4->maximum_x = 9.300000
# $r4->minimum_y = -2.027273
# $r4->maximum_y = 1.700000
1..59
ok
t/02-vnr.........ok 1 - use Statistics::LSNoHistory;
ok 2 - correct object type isa Statistics::LSNoHistory
ok 3 - x average
ok 4 - y average
ok 5 - x variance
ok 6 - y variance
ok 7 - slope
ok 8 - intercept
ok 9 - y slope
ok 10 - y intercept
ok 11 - r
ok 12 - x min
ok 13 - x max
ok 14 - y min
ok 15 - y max
1..15
ok
t/03-synopsis....ok 1 - use Statistics::LSNoHistory;
# num => 5.000000
# sumx => 15.100000
# sumy => 15.100000
# sumxx => 56.290000
# sumyy => 55.670000
# sumxy => 55.830000
# minx => 1.000000
# maxx => 5.200000
# miny => 1.000000
# maxy => 4.900000
# average_x = 3.020000
ok 2 - average_x: r1 = r2
ok 3 - average_x: r1 = r3
ok 4 - average_x: r1 = r4
# average_y = 3.020000
ok 5 - average_x: r1 = r5
ok 6 - average_y: r1 = r2
ok 7 - average_y: r1 = r3
ok 8 - average_y: r1 = r4
# variance_x = 2.672000
ok 9 - average_y: r1 = r5
ok 10 - variance_x: r1 = r2
ok 11 - variance_x: r1 = r3
ok 12 - variance_x: r1 = r4
# variance_y = 2.517000
ok 13 - variance_x: r1 = r5
ok 14 - variance_y: r1 = r2
ok 15 - variance_y: r1 = r3
ok 16 - variance_y: r1 = r4
# slope = 0.956961
ok 17 - variance_y: r1 = r5
ok 18 - slope: r1 = r2
ok 19 - slope: r1 = r3
ok 20 - slope: r1 = r4
# intercept = 0.129978
ok 21 - slope: r1 = r5
ok 22 - intercept: r1 = r2
ok 23 - intercept: r1 = r3
ok 24 - intercept: r1 = r4
# slope_y = 1.015892
ok 25 - intercept: r1 = r5
ok 26 - slope_y: r1 = r2
ok 27 - slope_y: r1 = r3
ok 28 - slope_y: r1 = r4
# intercept_y = -0.047994
ok 29 - slope_y: r1 = r5
ok 30 - intercept_y: r1 = r2
ok 31 - intercept_y: r1 = r3
ok 32 - intercept_y: r1 = r4
# pearson_r = 0.985986
ok 33 - intercept_y: r1 = r5
ok 34 - pearson_r: r1 = r2
ok 35 - pearson_r: r1 = r3
ok 36 - pearson_r: r1 = r4
# chi_squared = 0.280202
ok 37 - pearson_r: r1 = r5
ok 38 - chi_squared: r1 = r2
ok 39 - chi_squared: r1 = r3
ok 40 - chi_squared: r1 = r4
# minimum_x = 1.000000
ok 41 - chi_squared: r1 = r5
ok 42 - minimum_x: r1 = r2
ok 43 - minimum_x: r1 = r3
ok 44 - minimum_x: r1 = r4
# maximum_x = 5.200000
ok 45 - minimum_x: r1 = r5
ok 46 - maximum_x: r1 = r2
ok 47 - maximum_x: r1 = r3
ok 48 - maximum_x: r1 = r4
# minimum_y = 1.000000
ok 49 - maximum_x: r1 = r5
ok 50 - minimum_y: r1 = r2
ok 51 - minimum_y: r1 = r3
ok 52 - minimum_y: r1 = r4
# maximum_y = 4.900000
ok 53 - minimum_y: r1 = r5
ok 54 - maximum_y: r1 = r2
ok 55 - maximum_y: r1 = r3
ok 56 - maximum_y: r1 = r4
ok 57 - maximum_y: r1 = r5
# average_x = 3.020000
# average_y = 3.020000
ok 58 - average_x: r5 = branch
# variance_x = 2.672000
ok 59 - average_y: r5 = branch
# variance_y = 2.517000
ok 60 - variance_x: r5 = branch
# slope = 0.956961
ok 61 - variance_y: r5 = branch
# intercept = 0.129978
ok 62 - slope: r5 = branch
# slope_y = 1.015892
ok 63 - intercept: r5 = branch
# intercept_y = -0.047994
ok 64 - slope_y: r5 = branch
# pearson_r = 0.985986
ok 65 - intercept_y: r5 = branch
# chi_squared = 0.280202
ok 66 - pearson_r: r5 = branch
# minimum_x = 1.000000
ok 67 - chi_squared: r5 = branch
# maximum_x = 5.200000
ok 68 - minimum_x: r5 = branch
# minimum_y = 1.000000
ok 69 - maximum_x: r5 = branch
# maximum_y = 4.900000
ok 70 - minimum_y: r5 = branch
ok 71 - maximum_y: r5 = branch
ok 72 - branch is different after separate appends
ok 73 - slope
ok 74 - intercept
ok 75 - pearson r
1..75
ok
All tests successful.
Files=3, Tests=149,  0 wallclock secs ( 0.00 cusr +  0.00 csys =  0.00 CPU)

Microsoft (R) Program Maintenance Utility Version 7.10.3077
Copyright (C) Microsoft Corporation.  All rights reserved.

Installing C:\cpanrun\build\5-10-0\html\site\lib\Statistics\LSNoHistory.html
Installing C:\cpanrun\build\5-10-0\site\lib\Statistics\LSNoHistory.pm
Appending installation info to C:\cpanrun\build\5-10-0\lib/perllocal.pod