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$is.object.created [1] "A data object <gender_char_o> has been created in all specified data sources" $validity.check [1] "<gender_char_o> appears valid in all sources" |
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$is.object.created [1] "A data object <gender_tab> has been created in all specified data sources" $validity.check [1] "<gender_tab> appears valid in all sources" |
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$is.object.created [1] "A data object <gender_num_o> has been created in all specified data sources" $validity.check [1] "<gender_num_o> appears valid in all sources" |
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$is.object.created [1] "A data object <cbind.out> has been created in all specified data sources" $validity.check [1] "<cbind.out> appears valid in all sources" |
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[[1]] [[1]]$`Number of missing values in each variable` x y [1,] 360 362 [[1]]$`Number of missing values pairwise` x y x 360 366 y 366 362 [[1]]$`Correlation Matrix` [,1] [,2] [1,] 1.0000000 -0.2215122 [2,] -0.2215122 1.0000000 [[1]]$`Number of complete cases used` x y x 1803 1797 y 1797 1801 [[1]]$`Error message` [1] NA |
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[[1]] [[1]]$`Number of missing values in each variable` x y [1,] 0 360 [[1]]$`Number of missing values pairwise` x y x 0 360 y 360 360 [[1]]$`Variance-Covariance Matrix` x y x 0.25009206 0.02634621 y 0.02634621 0.17079588 [[1]]$`Number of complete cases used` x y x 2163 1803 y 1803 1803 [[1]]$`Error message` [1] NA |
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$is.object.created [1] "A data object <df_new> has been created in all specified data sources" $validity.check [1] "<df_new> appears valid in all sources" |
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$`dimensions of D in dstesting-100` [1] 2163 6 $`dimensions of D in combined studies` [1] 2163 6 |
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$breaks [1] 2.301554 3.104198 3.906842 4.709487 5.512131 6.314775 7.117420 7.920064 8.722708 9.525353 10.327997 $counts [1] 6 55 193 439 509 373 167 47 14 4 $density [1] 0.0013789506 0.0126403806 0.0443562448 0.1008932200 0.1169809772 0.0857247633 0.0383807921 0.0108017798 0.0032175514 0.0009193004 $mids [1] 2.702876 3.505520 4.308165 5.110809 5.913453 6.716097 7.518742 8.321386 9.124030 9.926675 $xname [1] "xvect" $equidisttable2D [1] TRUE $intensities [1] 0.0013789506 0.0126403806 0.0443562448 0.1008932200 0.1169809772 0.0857247633 0.0383807921 0.0108017798 0.0032175514 0.0009193004 attr(,"class") [1] "histogram" |
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$Mean.by.Study EstimatedMean Nmissing Nvalid Ntotal dstesting-100 5.872113 356 1807 2163$Mean.by.Study EstimatedMean Nmissing Nvalid Ntotal dstesting-100 5.872113 356 1807 2163 $Nstudies [1] 1 $ValidityMessage ValidityMessage dstesting-100 "VALID ANALYSIS" $Nstudies [1] 1 $ValidityMessage ValidityMessage dstesting-100 "VALID ANALYSIS" |
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$colPercent $colPercent$`dstesting-100-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 98.08 99.16 98.61 1 1.92 0.84 1.39 Total 100.00 100.00 100.00 $colPercent.all.studies $colPercent.all.studies$`pooled-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 98.08 99.16 98.61 1 1.92 0.84 1.39 Total 100.00 100.00 100.00 $rowPercent $rowPercent$`dstesting-100-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 50.21 49.79 100 1 70.00 30.00 100 Total 50.49 49.51 100 $rowPercent.all.studies $rowPercent.all.studies$`pooled-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 50.21 49.79 100 1 70.00 30.00 100 Total 50.49 49.51 100 $chi2Test $chi2Test$`dstesting-100-D$DIS_DIAB(row)|D$GENDER(col)` Pearson's Chi-squared test with Yates' continuity correction data: contingencyTable X-squared = 3.8767, df = 1, p-value = 0.04896 $chi2Test.all.studies $chi2Test.all.studies$`pooled-D$DIS_DIAB(row)|D$GENDER(col)` Pearson's Chi-squared test with Yates' continuity correction data: pooledContingencyTable X-squared = 3.8767, df = 1, p-value = 0.04896 $counts $counts$`dstesting-100-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 1071 1062 2133 1 21 9 30 Total 1092 1071 2163 $counts.all.studies $counts.all.studies$`pooled-D$DIS_DIAB(row)|D$GENDER(col)` 0 1 Total 0 1071 1062 2133 1 21 9 30 Total 1092 1071 2163 $validity [1] "All tables are valid!" |
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$Variance.by.Study EstimatedVar Nmissing Nvalid Ntotal dstesting-100 1.229163 356 1807 2163 $Nstudies [1] 1 $ValidityMessage ValidityMessage dstesting-100 "VALID ANALYSIS" |
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