minor bug fix

fixed bug in `bootlm` causing an error if missing observations (NaN, in either the outcome or any of the continuous predictors) caused a group to be excluded. Note that missing values are not acceptable in grouping variables of categorical predictors.

DESCRIPTION

@@ -1,6 +1,6 @@
 name: statistics-resampling
-version: 5.5.5
-date: 2024-01-18
+version: 5.5.5.1
+date: 2024-01-19
 author: Andrew Penn <[email protected]>
 maintainer: Andrew Penn <[email protected]>
 title: A statistics package with a variety of resampling tools

inst/bootlm.m

@@ -617,6 +617,21 @@
       end
     end
 
+    % Remove NaN or non-finite observations in y or any continuous predictors
+    % NaN is not tolerated in grouping variables for categorical predictors
+    if (isempty (GROUP))
+      excl = any ([isnan(Y), isinf(Y)], 2);
+    else
+      XC = GROUP(:,CONTINUOUS);
+      if iscell(XC)
+        XC = cell2mat (XC);
+      end
+      excl = any ([isnan(Y), isinf(Y), any(isnan(XC),2), any(isinf(XC),2)], 2);
+      GROUP(excl,:) = [];
+    end
+    Y(excl) = [];
+    n = numel (Y);     % Recalculate total number of observations
+
     % Create unique numeric group identifiers for levels of categorical
     % and extract levels of each categorical predictor
     GROUPID = zeros (n, K);
@@ -719,20 +734,6 @@
       CONTRASTS(~ contr_sum_to_zero) = {'anova'};
     end
 
-    % Remove NaN or non-finite observations
-    if (isempty (GROUP))
-      excl = any ([isnan(Y), isinf(Y)], 2);
-    else
-      XC = GROUP(:,CONTINUOUS);
-      if iscell(XC)
-        XC = cell2mat (XC);
-      end
-      excl = any ([isnan(Y), isinf(Y), any(isnan(XC),2), any(isinf(XC),2)], 2);
-      GROUP(excl,:) = [];
-    end
-    Y(excl) = [];
-    n = numel (Y);     % Recalculate total number of observations
-
     % Evaluate model type input argument and create terms matrix if not provided
     msg = cat (2, 'bootlm: the number of columns in the term definitions', ...
                   ' cannot exceed the number of columns of GROUP');

matlab/statistics-resampling.prj

@@ -1,13 +1,13 @@
 <deployment-project plugin="plugin.toolbox" plugin-version="1.0">
-  <configuration build-checksum="2919770292" file="Y:\Documents\GitHub\statistics-resampling\matlab\statistics-resampling.prj" location="Y:\Documents\GitHub\statistics-resampling\matlab" name="statistics-resampling" target="target.toolbox" target-name="Package Toolbox">
+  <configuration build-checksum="3590304514" file="Y:\Documents\GitHub\statistics-resampling\matlab\statistics-resampling.prj" location="Y:\Documents\GitHub\statistics-resampling\matlab" name="statistics-resampling" target="target.toolbox" target-name="Package Toolbox">
     <param.appname>statistics-resampling</param.appname>
     <param.authnamewatermark>Andrew Penn</param.authnamewatermark>
     <param.email>[email protected]</param.email>
     <param.company>University of Sussex, UK</param.company>
     <param.summary>Statistical analysis using resampling methods</param.summary>
     <param.description>The statistics-resampling package is an Octave package and Matlab toolbox that can be used to overcome a wide variety of statistics problems using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, and test hypotheses (p-values). Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.</param.description>
     <param.screenshot>Y:\Documents\GitHub\statistics-resampling\doc\icon.png</param.screenshot>
-    <param.version>5.5.5</param.version>
+    <param.version>5.5.5.1</param.version>
     <param.output>${PROJECT_ROOT}\statistics-resampling.mltbx</param.output>
     <param.products.name />
     <param.products.id />