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comparison scripts/statistics/distributions/normcdf.m @ 19867:9fc020886ae9

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maint: Clean up m-files to follow Octave coding conventions. Try to trim long lines to < 80 chars. Use '##' for single line comments. Use '(...)' around tests for if/elseif/switch/while. Abut cell indexing operator '{' next to variable. Abut array indexing operator '(' next to variable. Use space between negation operator '!' and following expression. Use two newlines between endfunction and start of %!test or %!demo code. Remove unnecessary parens grouping between short-circuit operators. Remove stray extra spaces (typos) between variables and assignment operators. Remove stray extra spaces from ends of lines.
author Rik <rik@octave.org>
date Mon, 23 Feb 2015 14:54:39 -0800
parents 4197fc428c7d
children d9341b422488
comparison
equal deleted inserted replaced
19866:a1acca0c2216 19867:9fc020886ae9
34 34
35 if (nargin != 1 && nargin != 3) 35 if (nargin != 1 && nargin != 3)
36 print_usage (); 36 print_usage ();
37 endif 37 endif
38 38
39 if (!isscalar (mu) || !isscalar (sigma)) 39 if (! isscalar (mu) || ! isscalar (sigma))
40 [retval, x, mu, sigma] = common_size (x, mu, sigma); 40 [retval, x, mu, sigma] = common_size (x, mu, sigma);
41 if (retval > 0) 41 if (retval > 0)
42 error ("normcdf: X, MU, and SIGMA must be of common size or scalars"); 42 error ("normcdf: X, MU, and SIGMA must be of common size or scalars");
43 endif 43 endif
44 endif 44 endif
78 %!assert (normcdf (x, ones (1,4), 1), y) 78 %!assert (normcdf (x, ones (1,4), 1), y)
79 %!assert (normcdf (x, [0 -Inf NaN Inf], 1), [y(1) NaN NaN NaN]) 79 %!assert (normcdf (x, [0 -Inf NaN Inf], 1), [y(1) NaN NaN NaN])
80 %!assert (normcdf (x, 1, [Inf NaN -1 0]), [NaN NaN NaN NaN]) 80 %!assert (normcdf (x, 1, [Inf NaN -1 0]), [NaN NaN NaN NaN])
81 %!assert (normcdf ([x(1:2) NaN x(4)], 1, 1), [y(1:2) NaN y(4)]) 81 %!assert (normcdf ([x(1:2) NaN x(4)], 1, 1), [y(1:2) NaN y(4)])
82 82
83 %% Test class of input preserved 83 ## Test class of input preserved
84 %!assert (normcdf ([x, NaN], 1, 1), [y, NaN]) 84 %!assert (normcdf ([x, NaN], 1, 1), [y, NaN])
85 %!assert (normcdf (single ([x, NaN]), 1, 1), single ([y, NaN]), eps ("single")) 85 %!assert (normcdf (single ([x, NaN]), 1, 1), single ([y, NaN]), eps ("single"))
86 %!assert (normcdf ([x, NaN], single (1), 1), single ([y, NaN]), eps ("single")) 86 %!assert (normcdf ([x, NaN], single (1), 1), single ([y, NaN]), eps ("single"))
87 %!assert (normcdf ([x, NaN], 1, single (1)), single ([y, NaN]), eps ("single")) 87 %!assert (normcdf ([x, NaN], 1, single (1)), single ([y, NaN]), eps ("single"))
88 88
89 %% Test input validation 89 ## Test input validation
90 %!error normcdf () 90 %!error normcdf ()
91 %!error normcdf (1,2) 91 %!error normcdf (1,2)
92 %!error normcdf (1,2,3,4) 92 %!error normcdf (1,2,3,4)
93 %!error normcdf (ones (3), ones (2), ones (2)) 93 %!error normcdf (ones (3), ones (2), ones (2))
94 %!error normcdf (ones (2), ones (3), ones (2)) 94 %!error normcdf (ones (2), ones (3), ones (2))