@@ -128,11 +128,11 @@ function anova2(testCase)
128128 rng(0 );
129129 name = names{i };
130130 data = eval( sprintf(' spm1d.data.uv1d.anova2.%s ();' , name ) );
131- spm = spm1d .stats .nonparam .anova2(data .Y , data .A , data .B ).inference(0.05 , ' iterations' , 1000 );
131+ spms = spm1d .stats .nonparam .anova2(data .Y , data .A , data .B ).inference(0.05 , ' iterations' , 1000 );
132132 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
133133 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
134- for ii = 1 : numel(spm )
135- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
134+ for ii = 1 : numel(spms )
135+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
136136 end
137137 end
138138 warning(' on' ,' all' )
@@ -148,11 +148,11 @@ function anova2nested(testCase)
148148 rng(0 );
149149 name = names{i };
150150 data = eval( sprintf(' spm1d.data.uv1d.anova2nested.%s ();' , name ) );
151- spm = spm1d .stats .nonparam .anova2nested(data .Y , data .A , data .B ).inference(0.05 , ' iterations' , 1000 );
151+ spms = spm1d .stats .nonparam .anova2nested(data .Y , data .A , data .B ).inference(0.05 , ' iterations' , 1000 );
152152 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
153153 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
154- for ii = 1 : numel(spm )
155- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
154+ for ii = 1 : numel(spms )
155+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
156156 end
157157 end
158158 warning(' on' ,' all' )
@@ -168,11 +168,11 @@ function anova2onerm(testCase)
168168 rng(0 );
169169 name = names{i };
170170 data = eval( sprintf(' spm1d.data.uv1d.anova2onerm.%s ();' , name ) );
171- spm = spm1d .stats .nonparam .anova2onerm(data .Y , data .A , data .B , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
171+ spms = spm1d .stats .nonparam .anova2onerm(data .Y , data .A , data .B , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
172172 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
173173 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
174- for ii = 1 : numel(spm )
175- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
174+ for ii = 1 : numel(spms )
175+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
176176 end
177177 end
178178 warning(' on' ,' all' )
@@ -188,11 +188,11 @@ function anova2rm(testCase)
188188 rng(0 );
189189 name = names{i };
190190 data = eval( sprintf(' spm1d.data.uv1d.anova2rm.%s ();' , name ) );
191- spm = spm1d .stats .nonparam .anova2rm(data .Y , data .A , data .B , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
191+ spms = spm1d .stats .nonparam .anova2rm(data .Y , data .A , data .B , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
192192 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
193193 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
194- for ii = 1 : numel(spm )
195- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
194+ for ii = 1 : numel(spms )
195+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
196196 end
197197 end
198198 warning(' on' ,' all' )
@@ -208,11 +208,11 @@ function anova3(testCase)
208208 rng(0 );
209209 name = names{i };
210210 data = eval( sprintf(' spm1d.data.uv1d.anova3.%s ();' , name ) );
211- spm = spm1d .stats .nonparam .anova3(data .Y , data .A , data .B , data .C ).inference(0.05 , ' iterations' , 1000 );
211+ spms = spm1d .stats .nonparam .anova3(data .Y , data .A , data .B , data .C ).inference(0.05 , ' iterations' , 1000 );
212212 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
213213 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
214- for ii = 1 : numel(spm )
215- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
214+ for ii = 1 : numel(spms )
215+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
216216 end
217217 end
218218 warning(' on' ,' all' )
@@ -228,11 +228,11 @@ function anova3nested(testCase)
228228 rng(0 );
229229 name = names{i };
230230 data = eval( sprintf(' spm1d.data.uv1d.anova3nested.%s ();' , name ) );
231- spm = spm1d .stats .nonparam .anova3nested(data .Y , data .A , data .B , data .C ).inference(0.05 , ' iterations' , 1000 );
231+ spms = spm1d .stats .nonparam .anova3nested(data .Y , data .A , data .B , data .C ).inference(0.05 , ' iterations' , 1000 );
232232 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
233233 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
234- for ii = 1 : numel(spm )
235- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
234+ for ii = 1 : numel(spms )
235+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
236236 end
237237 end
238238 warning(' on' ,' all' )
@@ -248,11 +248,11 @@ function anova3onerm(testCase)
248248 rng(0 );
249249 name = names{i };
250250 data = eval( sprintf(' spm1d.data.uv1d.anova3onerm.%s ();' , name ) );
251- spm = spm1d .stats .nonparam .anova3onerm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
251+ spms = spm1d .stats .nonparam .anova3onerm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
252252 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
253253 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
254- for ii = 1 : numel(spm )
255- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
254+ for ii = 1 : numel(spms )
255+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
256256 end
257257 end
258258 warning(' on' ,' all' )
@@ -268,11 +268,11 @@ function anova3tworm(testCase)
268268 rng(0 );
269269 name = names{i };
270270 data = eval( sprintf(' spm1d.data.uv1d.anova3tworm.%s ();' , name ) );
271- spm = spm1d .stats .nonparam .anova3tworm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
271+ spms = spm1d .stats .nonparam .anova3tworm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
272272 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
273273 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
274- for ii = 1 : numel(spm )
275- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
274+ for ii = 1 : numel(spms )
275+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
276276 end
277277 end
278278 warning(' on' ,' all' )
@@ -288,11 +288,11 @@ function anova3rm(testCase)
288288 rng(0 );
289289 name = names{i };
290290 data = eval( sprintf(' spm1d.data.uv1d.anova3rm.%s ();' , name ) );
291- spm = spm1d .stats .nonparam .anova3rm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
291+ spms = spm1d .stats .nonparam .anova3rm(data .Y , data .A , data .B , data .C , data .SUBJ ).inference(0.05 , ' iterations' , 1000 );
292292 expected = load( fullfile(spm1d .path , ' results' , ' nonparam1d' , sprintf(' %s .mat' ,name ) ) );
293293 comps = [PublicPropertyComparator .supportingAllValues(), IsEqualTo([]).Comparator];
294- for ii = 1 : numel(spm )
295- verifyThat(testCase , spm (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
294+ for ii = 1 : numel(spms )
295+ verifyThat(testCase , spms (ii ), IsEqualTo(expected .spm(ii ), ' Using' ,comps ,' Within' , RelativeTolerance(1e-6 )))
296296 end
297297 end
298298 warning(' on' ,' all' )
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