version 1.99, 2004/10/29 16:10:30
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version 1.103, 2004/11/10 16:56:39
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Line 152 sub BuildProblemAnalysisPage {
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Line 152 sub BuildProblemAnalysisPage {
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$problem_data, |
$problem_data, |
\@Students); |
\@Students); |
} elsif ($current_problem->{'resptype'} eq 'numerical') { |
} elsif ($current_problem->{'resptype'} eq 'numerical') { |
## |
&numerical_response_analysis($r,$current_problem, |
## analyze all responses of a problem at once |
$problem_data,\@Students); |
my $res = $current_problem->{'resource'}; |
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foreach my $partid (@{$res->{'parts'}}) { |
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$current_problem->{'part'} = $partid; |
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foreach my $respid (@{$res->{'partdata'}->{$partid}->{'ResponseIds'}}) { |
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$current_problem->{'respid'}=$respid; |
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&NumericalResponseAnalysis($r,$current_problem, |
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$problem_data,\@Students); |
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} |
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} |
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} else { |
} else { |
$r->print('<h2>This analysis is not supported</h2>'); |
$r->print('<h2>Analysis of '.$current_problem->{'resptype'}.' is not supported</h2>'); |
} |
} |
} |
} |
$r->print('<hr />'); |
$r->print('<hr />'); |
Line 178 sub BuildProblemAnalysisPage {
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Line 169 sub BuildProblemAnalysisPage {
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} |
} |
} |
} |
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######################################################### |
######################################################### |
######################################################### |
######################################################### |
## |
## |
Line 186 sub BuildProblemAnalysisPage {
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Line 176 sub BuildProblemAnalysisPage {
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## |
## |
######################################################### |
######################################################### |
######################################################### |
######################################################### |
sub NumericalResponseAnalysis { |
sub numerical_response_analysis { |
my ($r,$problem,$problem_data,$Students) = @_; |
my ($r,$problem,$problem_analysis,$students) = @_; |
my $c = $r->connection(); |
my $c = $r->connection(); |
my ($resource,$partid,$respid) = ($problem->{'resource'}, |
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$problem->{'part'}, |
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$problem->{'respid'}); |
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# |
# |
if (scalar(@{$resource->{'parts'}})>1) { |
if ($ENV{'form.AnalyzeOver'} !~ /^(tries|time)$/) { |
if (@{$resource->{'partdata'}->{$partid}->{'ResponseIds'}}>1) { |
$r->print('Bad request'); |
$r->print('<h3>'. |
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&mt('Part [_1], response [_2].',$partid,$respid). |
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'</h3>'); |
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} else { |
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$r->print('<h3>'. |
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&mt('Part [_1]',$partid,$respid). |
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'</h3>'); |
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} |
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} elsif (@{$resource->{'partdata'}->{$partid}->{'ResponseIds'}}>1) { |
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$r->print('<h3>'.&mt('Response [_1]',$respid).'</h3>'); |
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} |
} |
# |
# |
my $analysis_html; |
my ($resource,$partid,$respid) = ($problem->{'resource'}, |
my $PerformanceData = &Apache::loncoursedata::get_response_data |
$problem->{'part'}, |
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$problem->{'respid'}); |
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# Gather student data |
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my $response_data = &Apache::loncoursedata::get_response_data |
(\@Apache::lonstatistics::SelectedSections, |
(\@Apache::lonstatistics::SelectedSections, |
$Apache::lonstatistics::enrollment_status, |
$Apache::lonstatistics::enrollment_status, |
$resource->{'symb'},$respid); |
$resource->{'symb'},$respid); |
if (! defined($PerformanceData) || |
# |
ref($PerformanceData) ne 'ARRAY' ) { |
for (my $plot_num = 1;$plot_num<=$ENV{'form.NumPlots'};$plot_num++) { |
$analysis_html = '<h2>'. |
my $restriction_function; |
&mt('There is no submission data for this resource'). |
$restriction_function = sub {($_[0]->{'tries'} == $plot_num?1:0)}; |
'</h2>'; |
# |
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my ($correct,$intervals,$answers) = |
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&numerical_response_determine_intervals($r,$resource,$partid, |
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$respid,$students); |
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if ($c->aborted()) { return; }; |
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# |
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my $responses = &classify_response_data($response_data, |
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$correct, |
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$restriction_function); |
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my $student_count = $responses->{'_students'}; |
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my $correct_count = $responses->{'_correct'}; |
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my $total_count = $responses->{'_count'}; |
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my $max = $responses->{'_max'}; |
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# |
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my $analysis_html = '<h2>'.&mt('Attempt [_1]',$plot_num).'</h2>'; |
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$analysis_html.= &numerical_one_dimensional_plot($r,600,150, |
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scalar(@$students), |
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$answers); |
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$analysis_html.= '<table><tr>'. |
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'<td valign="top" align="center">'. |
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&numerical_plot_percent($r,$responses).'</td>'. |
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'<td align="center" valign="top">'. |
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&numerical_plot_differences($r,$responses).'</td>'. |
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'</tr>'.$/.'</table>'; |
$r->print($analysis_html); |
$r->print($analysis_html); |
return; |
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} |
} |
# |
# |
# This next call causes all the waiting around that people complain about |
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&Apache::lonstathelpers::GetStudentAnswers($r,$problem,$Students, |
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'Statistics', |
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'stats_status'); |
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return if ($c->aborted()); |
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# |
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# Collate the data |
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my %Data; |
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foreach my $student (@$Students) { |
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my $answer = $student->{'answer'}; |
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$Data{$answer}++; |
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} |
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my @Labels = sort {$a <=> $b } keys(%Data); |
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my @PlotData = @Data{@Labels}; |
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# |
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my $width = 500; |
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my $height = 100; |
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my $plot = &one_dimensional_plot($r,500,100,scalar(@$Students), |
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\@Labels,\@PlotData); |
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$r->print($plot); |
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return; |
return; |
} |
} |
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sub one_dimensional_plot { |
sub numerical_plot_percent { |
my ($r,$width,$height,$N,$Labels,$Data)=@_; |
my ($r,$responses) = @_; |
# |
# |
# Compute data -> image scaling factors |
my $total = $responses->{'_count'}; |
my $min = $Labels->[0]; |
return '' if ($total == 0); |
my $max = $Labels->[-1]; |
my $minbin = 0.5; |
if ($max == $min) { |
while (my ($interval,$submissions) = each(%$responses)) { |
$max =$min+1; |
next if ($interval =~ /^_/); |
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my ($ans,$ans_low,$ans_high) = split(" ",$interval); |
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my $low_percent = abs(($ans-$ans_low)/$ans); |
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my $high_percent = abs(($ans_high-$ans)/$ans); |
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if ($minbin > $high_percent) { $minbin = $high_percent; } |
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if ($minbin > $low_percent) { $minbin = $low_percent; } |
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} |
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# |
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my @bins; |
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if ($minbin < 1) { |
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@bins = (0.1, ".5",1,1.5,2,2.5,3,4,5,10,20,50,100); |
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} elsif ($minbin < 2) { |
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@bins = (0.5,1,1.5,2,2.5,3,4,5,10,20,50,100); |
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} elsif ($minbin < 5) { |
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@bins = (1,2,3,4,5,10,25,50,75,100,200); |
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} elsif ($minbin < 10) { |
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@bins = (2,4,6,8,10,12,15,20,25,30,50,75,100,200); |
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} else { |
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@bins = (5,10,15,20,25,30,50,75,100,200); |
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} |
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my @labels = (1..scalar(@bins)); |
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# |
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my @correct; |
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my @incorrect; |
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while (my ($interval,$submissions) = each(%$responses)) { |
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next if ($interval =~ /^_/); |
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my ($ans,$ans_low,$ans_high) = split(" ",$interval); |
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while (my ($submission,$count) = each(%$submissions)) { |
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my $scaled_value = abs(($submission-$ans)/$ans); |
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my $bin=0; |
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for ($bin=0;$bin<$#bins;$bin++) { # not <= for a reason |
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last if ($bins[$bin]>$scaled_value); |
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} |
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if (($submission <= $ans_high) && ($submission >= $ans_low)) { |
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$correct[$bin]+=$count; |
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} else { |
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$incorrect[$bin]+=$count; |
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} |
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} |
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} |
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# |
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for (my $i=0;$i<=$#bins;$i++) { |
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if (! defined( $correct[$i])) { $correct[$i]=0;} |
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if (! defined($incorrect[$i])) { $incorrect[$i]=0;} |
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$correct[$i]*=100/$total; |
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$incorrect[$i]*=100/$total; |
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} |
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my $title = &mt('Distribution by Percent'); |
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my $graph = &Apache::loncommon::DrawBarGraph |
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($title,'Percent difference from correct','Number of answers', |
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100,['#33FF00','#FF3300'],\@labels,\@correct,\@incorrect, |
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{xskip=>1}); |
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# |
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my $table = $graph.'<table><tr><th>'.&mt('Bar').'</th>'. |
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'<th colspan="3">'.&mt('Range').'</th>'; |
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for (my $i=0;$i<=$#bins;$i++) { |
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my $lownum; |
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if ($i == 0) { |
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$lownum = 0; |
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} else { |
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$lownum = $bins[$i-1]; |
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} |
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my $highnum = $bins[$i]; |
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$table .= |
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'<tr>'. |
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'<td>'.$labels[$i].'</td>'. |
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'<td align="right">'.$lownum.'</td>'. |
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'<td> - </td>'. |
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'<td align="right">'.$highnum.'</td>'.'</tr>'.$/; |
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} |
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$table.= '</table>'.$/; |
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return $table; |
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} |
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sub numerical_plot_differences { |
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my ($r,$responses) = @_; |
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# |
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my $total = $responses->{'_count'}; |
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return '' if ($total == 0); |
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my $minbin = undef; |
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my $maxbin = undef; |
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while (my ($interval,$submissions) = each(%$responses)) { |
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next if ($interval =~ /^_/); |
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my ($ans,$ans_low,$ans_high) = split(" ",$interval); |
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my $low_diff = abs($ans-$ans_low); |
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my $high_diff = abs($ans_high-$ans); |
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if (! defined($maxbin)) { $maxbin = $low_diff;} |
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if (! defined($minbin)) { $minbin = $low_diff;} |
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# |
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if ($minbin > $high_diff) { $minbin = $high_diff; } |
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if ($minbin > $low_diff ) { $minbin = $low_diff; } |
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# |
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if ($maxbin < $high_diff) { $maxbin = $high_diff; } |
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if ($maxbin < $low_diff ) { $maxbin = $low_diff; } |
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} |
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# |
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my @bins; |
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my @labels; |
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# Hmmmm, should switch to absolute difference |
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for (my $i=1;$i<=20;$i++) { |
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push(@bins,$i*$minbin/2); |
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push(@labels,$i); |
} |
} |
my $h_scale = ($width-10)/($max-$min); |
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# |
# |
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my @correct; |
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my @incorrect; |
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while (my ($interval,$submissions) = each(%$responses)) { |
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next if ($interval =~ /^_/); |
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my ($ans,$ans_low,$ans_high) = split(" ",$interval); |
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while (my ($submission,$count) = each(%$submissions)) { |
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my $value = abs($submission-$ans); |
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my $bin=0; |
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for ($bin=0;$bin<$#bins;$bin++) { # not <= for a reason |
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last if ($bins[$bin]>$value); |
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} |
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if (($submission <= $ans_high) && ($submission >= $ans_low)) { |
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$correct[$bin]+=$count; |
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} else { |
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$incorrect[$bin]+=$count; |
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} |
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} |
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} |
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# |
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for (my $i=0;$i<=$#bins;$i++) { |
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if (! defined( $correct[$i])) { $correct[$i]=0;} |
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if (! defined($incorrect[$i])) { $incorrect[$i]=0;} |
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$correct[$i]*=100/$total; |
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$incorrect[$i]*=100/$total; |
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} |
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my $title = &mt('Distribution by Magnitude'); |
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my $graph = &Apache::loncommon::DrawBarGraph |
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($title,'magnitude difference from correct','Number of answers', |
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100,['#33FF00','#FF3300'],\@labels,\@correct,\@incorrect,{xskip=>1}); |
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# |
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my $table = $graph.'<table><tr><th>'.&mt('Bar').'</th>'. |
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'<th colspan="3">'.&mt('Range').'</th>'; |
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for (my $i=0;$i<=$#bins;$i++) { |
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my $lownum; |
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if ($i == 0) { |
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$lownum = 0; |
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} else { |
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$lownum = $bins[$i-1]; |
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} |
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my $highnum = $bins[$i]; |
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$table .= |
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'<tr>'. |
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'<td>'.$labels[$i].'</td>'. |
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'<td align="right">'.$lownum.'</td>'. |
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'<td> - </td>'. |
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'<td align="right">'.$highnum.'</td>'.'</tr>'.$/; |
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} |
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$table.= '</table>'.$/; |
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return $table; |
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} |
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sub numerical_response_determine_intervals { |
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my ($r,$resource,$partid,$respid,$students)=@_; |
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my $c = $r->connection(); |
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# |
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# FIX ME: Need progress dialog updates |
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# |
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# Read in the cache (if it exists) before we start timing things. |
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&Apache::lonstathelpers::ensure_proper_cache($resource->{'symb'}); |
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# |
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my $correct; |
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# %intervals differs from %answers because it may be possible for two |
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# students to have the same correct answer but different intervals. |
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my %intervals; |
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my %answers; |
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foreach my $student (@$students) { |
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last if ($c->aborted()); |
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my $sname = $student->{'username'}; |
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my $sdom = $student->{'domain'}; |
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# analyze problem |
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my $analysis = |
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&Apache::lonstathelpers::analyze_problem_as_student($resource, |
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$sname, |
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$sdom); |
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# make the key |
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my $key = $partid.'.'.$respid; |
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my $interval = join(' ',($analysis->{$key.'.answer'}->[0], |
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$analysis->{$key.'.ans_low'}->[0], |
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$analysis->{$key.'.ans_high'}->[0])); |
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$correct->{$sname.':'.$sdom} = $interval; |
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$intervals{$interval}++; |
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$answers{$analysis->{$key.'.answer'}->[0]}++; |
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} |
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&Apache::lonstathelpers::write_analysis_cache(); |
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return ($correct,\%intervals,\%answers); |
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} |
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sub numerical_one_dimensional_plot { |
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my ($r,$width,$height,$n,$data)=@_; |
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# |
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# Compute data -> image scaling factors |
my $max_y = 0; |
my $max_y = 0; |
foreach (@$Data) { |
my $min_x = undef; |
$max_y = $_ if ($max_y < $_); |
my $max_x = undef; |
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while (my ($answer,$count) = each(%$data)) { |
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$max_y = $count if ($max_y < $count); |
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if (! defined($min_x) || $answer < $min_x) { |
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$min_x = $answer; |
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} |
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if (! defined($max_x) || $answer > $max_x) { |
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$max_x = $answer; |
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} |
} |
} |
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# |
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my $h_scale = ($width-10)/($max_x-$min_x); |
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# |
my $ticscale = 5; |
my $ticscale = 5; |
if ($max_y * $ticscale > $height/2) { |
if ($max_y * $ticscale > $height/2) { |
$ticscale = int($height/2/$max_y); |
$ticscale = int($height/2/$max_y); |
Line 268 sub one_dimensional_plot {
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Line 452 sub one_dimensional_plot {
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# Create the plot |
# Create the plot |
my $plot = |
my $plot = |
qq{<drawimage width="$width" height="$height" bgcolor="transparent" >}; |
qq{<drawimage width="$width" height="$height" bgcolor="transparent" >}; |
for (my $idx=0;$idx<scalar(@$Labels);$idx++) { |
while (my ($answer,$count) = each(%$data)) { |
my $xloc = 5+$h_scale*($Labels->[$idx] - $min); |
my $xloc = 5+$h_scale*($answer - $min_x); |
my $top = $height/2-$Data->[$idx]*$ticscale; |
my $top = $height/2-$count*$ticscale; |
my $bottom = $height/2+$Data->[$idx]*$ticscale; |
my $bottom = $height/2+$count*$ticscale; |
$plot .= |
$plot .= &line($xloc,$top,$xloc,$bottom,'888888',1); |
&line($xloc,$top,$xloc,$bottom,'888888',1); |
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} |
} |
# |
# |
# Put the scale on last to ensure it is on top of the data. |
# Put the scale on last to ensure it is on top of the data. |
if ($min < 0 && $max > 0) { |
if ($min_x < 0 && $max_x > 0) { |
my $circle_x = 5+$h_scale*abs($min); # '0' in data coordinates |
my $circle_x = 5+$h_scale*abs($min_x); # '0' in data coordinates |
my $r = 4; |
my $r = 4; |
$plot .= &line(5,$height/2,$circle_x-$r,$height/2,'000000',1); |
$plot .= &line(5,$height/2,$circle_x-$r,$height/2,'000000',1); |
$plot .= &circle($circle_x,$height/2,$r+1,'000000'); |
$plot .= &circle($circle_x,$height/2,$r+1,'000000'); |
Line 289 sub one_dimensional_plot {
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Line 472 sub one_dimensional_plot {
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$plot .= '</drawimage>'; |
$plot .= '</drawimage>'; |
my $plotresult = &Apache::lonxml::xmlparse($r,'web',$plot); |
my $plotresult = &Apache::lonxml::xmlparse($r,'web',$plot); |
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my $title = 'Distribution of correct answers'; |
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my $result = '<table>'. |
my $result = '<table>'. |
'<tr><td colspan="3" align="center">'. |
'<tr><td colspan="3" align="center">'. |
'<font size="+2">'.$title.' (N='.$N.')'. |
'<font size="+2">'.&mt('Distribution of correct answers').'</font>'. |
'</font>'. |
'<br />'.&mt('[_1] students, [_2] distinct correct answers', |
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$n,scalar(keys(%$data))). |
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'<br />'.&mt('Maximum number of coinciding values: [_1]',$max_y). |
'</td></tr>'. |
'</td></tr>'. |
'<tr>'. |
'<tr>'. |
'<td valign="center">'.$min.'</td>'. |
'<td valign="center">'.$min_x.'</td>'. |
'<td>'.$plotresult.'</td>'. |
'<td>'.$plotresult.'</td>'. |
'<td valign="center">'.$max.'</td>'. |
'<td valign="center">'.$max_x.'</td>'. |
'</tr>'. |
'</tr>'. |
'<tr><td colspan="3" align="center">'. |
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'Maximum Number of Coinciding Values: '.$max_y. |
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'</td></tr>'. |
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'</table>'; |
'</table>'; |
return $result; |
return $result; |
} |
} |
Line 312 sub one_dimensional_plot {
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Line 493 sub one_dimensional_plot {
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## These should probably go somewhere more suitable soon. |
## These should probably go somewhere more suitable soon. |
sub line { |
sub line { |
my ($x1,$y1,$x2,$y2,$color,$thickness) = @_; |
my ($x1,$y1,$x2,$y2,$color,$thickness) = @_; |
return qq{<line x1="$x1" y1="$y1" x2="$x2" y2="$y2" color="$color" thickness="$thickness" />$/}; |
return qq{<line x1="$x1" y1="$y1" x2="$x2" y2="$y2" color="$color" thickness="$thickness" />}; |
} |
} |
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sub text { |
sub text { |
Line 461 sub radio_response_analysis {
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Line 642 sub radio_response_analysis {
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&get_time_from_row($response_data->[-1]), |
&get_time_from_row($response_data->[-1]), |
$plot_num); |
$plot_num); |
$pre_graph_text = |
$pre_graph_text = |
'Data from [_5] to [_6], [_2] submissions, [_3] correct, [_4] incorrect'; |
'Data from [_6] to [_7]<br /> [_2] submissions from [_5] students, [_3] correct, [_4] incorrect'; |
$extra_data[0] = &Apache::lonlocal::locallocaltime($starttime); |
$extra_data[0] = &Apache::lonlocal::locallocaltime($starttime); |
$extra_data[1] = &Apache::lonlocal::locallocaltime($endtime); |
$extra_data[1] = &Apache::lonlocal::locallocaltime($endtime); |
# |
# |
Line 485 sub radio_response_analysis {
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Line 666 sub radio_response_analysis {
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$no_data_text = 'No data for [_5] to [_6]'; |
$no_data_text = 'No data for [_5] to [_6]'; |
} |
} |
my $foil_choice_data = |
my $foil_choice_data = |
&RR_classify_response_data($response_data,$correct, |
&classify_response_data($response_data,$correct, |
$restriction_function); |
$restriction_function); |
# &Apache::lonstathelpers::log_hash_ref($foil_choice_data); |
# &Apache::lonstathelpers::log_hash_ref($foil_choice_data); |
my $answers; |
my $answers; |
if (ref($correct)) { |
if (ref($correct)) { |
Line 528 sub radio_response_analysis {
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Line 709 sub radio_response_analysis {
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'<font size="+1">'. |
'<font size="+1">'. |
&mt($pre_graph_text, |
&mt($pre_graph_text, |
$plot_num,$foil_choice_data->{'_count'}, |
$plot_num,$foil_choice_data->{'_count'}, |
$correct, |
$correct, |
$foil_choice_data->{'_count'}-$correct, |
$foil_choice_data->{'_count'}-$correct, |
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$foil_choice_data->{'_students'}, |
@extra_data). |
@extra_data). |
'</td></tr>'.$/; |
'</td></tr>'.$/; |
$analysis_html.= |
$analysis_html.= |
Line 635 sub RR_create_percent_selected_plot {
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Line 817 sub RR_create_percent_selected_plot {
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my %correct_selections; |
my %correct_selections; |
my %incorrect_selections; |
my %incorrect_selections; |
foreach my $foil (@$foils) { |
foreach my $foil (@$foils) { |
# foil_data has format $foil_data->{true_foil}->{selected foil} |
# foil_data has format $foil_data->{true_foil}->{selected foil}=count |
next if (! exists($foil_data->{$foil})); |
next if (! exists($foil_data->{$foil})); |
while (my ($f,$count)= each(%{$foil_data->{$foil}})) { |
while (my ($f,$count)= each(%{$foil_data->{$foil}})) { |
if ($f eq $foil) { |
if ($f eq $foil) { |
$correct_selections{$foil} += $count; |
$correct_selections{$foil} += $count; |
} else { |
} else { |
$incorrect_selections{$foil} += $count; |
$incorrect_selections{$f} += $count; |
} |
} |
} |
} |
} |
} |
Line 658 sub RR_create_percent_selected_plot {
|
Line 840 sub RR_create_percent_selected_plot {
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$incorrect[$i] = $incorrect_selections{$foil}; |
$incorrect[$i] = $incorrect_selections{$foil}; |
} |
} |
for (my $i=0;$i<=$#correct;$i++) { |
for (my $i=0;$i<=$#correct;$i++) { |
&Apache::lonnet::logthis('correct['.$i.']='.$correct[$i]); |
|
$correct[$i] = sprintf('%2f',$correct[$i]/$total*100); |
$correct[$i] = sprintf('%2f',$correct[$i]/$total*100); |
} |
} |
for (my $i=0;$i<=$#incorrect;$i++) { |
for (my $i=0;$i<=$#incorrect;$i++) { |
Line 757 sub RR_create_stacked_selection_plot {
|
Line 938 sub RR_create_stacked_selection_plot {
|
return ($graph,\%count_per_foil); |
return ($graph,\%count_per_foil); |
} |
} |
|
|
|
|
|
######################################################### |
|
######################################################### |
|
## |
|
## Misc routines |
|
## |
|
######################################################### |
|
######################################################### |
|
|
# if $correct is a hash ref, it is assumed to be indexed by student names. |
# if $correct is a hash ref, it is assumed to be indexed by student names. |
# the values are assumed to be hash refs with a key of 'answer'. |
# the values are assumed to be hash refs with a key of 'answer'. |
sub RR_classify_response_data { |
sub classify_response_data { |
my ($full_row_data,$correct,$function) = @_; |
my ($full_row_data,$correct,$function) = @_; |
my %submission_data; |
my %submission_data; |
|
my %students; |
|
my $max=0; |
foreach my $row (@$full_row_data) { |
foreach my $row (@$full_row_data) { |
my %subm = &hashify_attempt($row); |
my %subm = &hashify_attempt($row); |
if (ref($correct) eq 'HASH') { |
if (ref($correct) eq 'HASH') { |
Line 771 sub RR_classify_response_data {
|
Line 963 sub RR_classify_response_data {
|
} |
} |
$subm{'submission'} =~ s/=\d+\s*$//; |
$subm{'submission'} =~ s/=\d+\s*$//; |
if (&$function(\%subm)) { |
if (&$function(\%subm)) { |
|
$students{$subm{'student'}}++; |
$submission_data{'_count'}++; |
$submission_data{'_count'}++; |
|
|
if (&submission_is_correct($subm{'award'})) { |
if (&submission_is_correct($subm{'award'})) { |
$submission_data{'_correct'}++; |
$submission_data{'_correct'}++; |
} |
} |
$submission_data{$subm{'correct'}}->{$subm{'submission'}}++; |
|
|
if($max<++$submission_data{$subm{'correct'}}->{$subm{'submission'}}) { |
|
$max=$submission_data{$subm{'correct'}}->{$subm{'submission'}}; |
|
} |
} |
} |
} |
} |
|
$submission_data{'_max'} = $max; |
|
$submission_data{'_students'}=scalar(keys(%students)); |
return \%submission_data; |
return \%submission_data; |
} |
} |
|
|
Line 1100 sub OR_time_analysis {
|
Line 1299 sub OR_time_analysis {
|
&OR_time_process_data($performance_data,$begin_index,$end_index); |
&OR_time_process_data($performance_data,$begin_index,$end_index); |
## |
## |
$table .= '<tr><td colspan="4" align="center"><font size="+1">'. |
$table .= '<tr><td colspan="4" align="center"><font size="+1">'. |
&mt('[_1] submissions from [_2] students submitting, [_3] correct, [_4] incorrect', |
&mt('[_1] submissions from [_2] students, [_3] correct, [_4] incorrect', |
$data_count,$student_count,$correct,$data_count-$correct). |
$data_count,$student_count,$correct,$data_count-$correct). |
'</font></td></tr>'.$/; |
'</font></td></tr>'.$/; |
my $concept_correct_plot = ''; |
my $concept_correct_plot = ''; |
Line 1234 sub OR_time_process_data {
|
Line 1433 sub OR_time_process_data {
|
if ($end_index == scalar(@$performance_data)-1) { |
if ($end_index == scalar(@$performance_data)-1) { |
$end_index++; |
$end_index++; |
} |
} |
&Apache::lonnet::logthis(' '.$begin_index.':'.$end_index); |
|
my $count; |
my $count; |
for (my $i=$begin_index;$i<$end_index;$i++) { |
for (my $i=$begin_index;$i<$end_index;$i++) { |
my $attempt = $performance_data->[$i]; |
my $attempt = $performance_data->[$i]; |
Line 1254 sub OR_time_process_data {
|
Line 1452 sub OR_time_process_data {
|
} |
} |
} |
} |
} |
} |
&Apache::lonnet::logthis('count = '.$count); |
|
return (\%processed_time_data,$correct,$data_count, |
return (\%processed_time_data,$correct,$data_count, |
scalar(keys(%distinct_students))); |
scalar(keys(%distinct_students))); |
} |
} |