diff --git a/HISTORY.md b/HISTORY.md index 33ece114f..5a0341cb3 100644 --- a/HISTORY.md +++ b/HISTORY.md @@ -1,667 +1,883 @@ # History of Changes -### 3.0.34 +## 3.0.42 + +- Inflate cubes that are single column filters + +## 3.0.41 + +- Remove `deepcopy` from dimension module due to a performance issue + +## 3.0.40 + +- Fix bug with weighted vs unweighted in pairwise effect calculation + +## 3.0.39 + +- Remove cube response deepcopy due to a performance issue + +## 3.0.38 + +- Improve calculation of DoF for pairwise comparison +- Use effective counts as column bases for DoF + +## 3.0.37 + +- Add squared counts as a cube measure +- Enable calculating pairwise stats with effective denominator + +## 3.0.36 + +- Fix bug in pairwise sig values for means. + +## 3.0.35 + +- Fix bug where categorical dimension would sometimes be interpreted as `MR_CATS`. + +## 3.0.34 + - Fix bug with significance testing with overlaps and subtotals -### 3.0.33 +## 3.0.33 + - Honor `order` field in variable definitions -### 3.0.32 +## 3.0.32 + - Simply code (Cube and Dimension modules refactoring) -### 3.0.31 +## 3.0.31 + - Fix `null` view in dimension dict -### 3.0.30 +## 3.0.30 + - Date format representation - Fix payload order for insertions in weird order -### 3.0.29 +## 3.0.29 + - Bug fix for H&S overlaps for MR -### 3.0.28 +## 3.0.28 + - Bug fix hidden subvars in MR with insertions -### 3.0.27 +## 3.0.27 + - Implement overlaps for CAT H&S -### 3.0.26 +## 3.0.26 + - Fix bug when dimension's format is set to null in JSON -### 3.0.25 +## 3.0.25 + - Support date formatting on datetime dimension labels -### 3.0.24 +## 3.0.24 + - Drop support for diff subtotals in population measure - Enable Cat insertions across Multiple Response -### 3.0.23 +## 3.0.23 + - Fix payload order using bogus ids -### 3.0.22 +## 3.0.22 + - Expose `columns_dimension_description` for _Slice -### 3.0.21 +## 3.0.21 + - Shim datetimes so that element transforms and sorting can refer to items in both old format (position) and new format (label). - Change how warnings are suppressed so that they are suppressed even when multithreading. -### 3.0.20 +## 3.0.20 + - Shim subvariable "zz9" ids that are `fixed` in a sort-by-value transform -### 3.0.19 +## 3.0.19 + - Add `subtotals_with_payload_order` property in dimension -### 3.0.18 +## 3.0.18 + - Fix for transforms on scorecard dimensions - Add `repr` to various sequence classes -### 3.0.17 +## 3.0.17 + - Fix valid count summary range -### 3.0.16 +## 3.0.16 + - Fix pairwise indices for overlaps, when hiding or reordering columns -### 3.0.15 +## 3.0.15 + - This version was skipped because of the publishing errors -### 3.0.14 +## 3.0.14 + - Expose `row_order` and `payload_order` properties for `_Slice` and `_Strand` -### 3.0.13 +## 3.0.13 + - Fix bug where attempting to hide an MR insertion that didn't exist raised KeyError -### 3.0.12 +## 3.0.12 + - Fix bug in share of sum for Strand -### 3.0.11 +## 3.0.11 + - Fix bug in variance calculation for subtotal differences -### 3.0.10 +## 3.0.10 + - Allow sorting by share of sum -### 3.0.9 +## 3.0.9 + - Fix reverse authority in `id_translation` for MR dimensions -### 3.0.8 +## 3.0.8 + - Fix reverse order in insertions fills -### 3.0.7 +## 3.0.7 + - Add fills for insertions (subtotals and differences) -### 3.0.6 +## 3.0.6 + - Expose `rows_dimension_alias` for `_Strand` - Expose `tab_alias` for `_Strand` - Expose `tab_label` for `_Strand` -### 3.0.5 +## 3.0.5 + - Add indexes for subtotal differences - This is needed for the correct display of pptx graphs -### 3.0.4 +## 3.0.4 + - Expose `rows_dimension_alias` - Expose `row_codes` - Expose `column_codes` -### 3.0.3 +## 3.0.3 + - MR insertions (derived elements) have anchor recalculated in explicit order -### 3.0.2 +## 3.0.2 + - Smoothing measures consolidation -### 3.0.1 +## 3.0.1 + - Bug fix for pairwise indices with overlaps -### 3.0.0 +## 3.0.0 + - Remove Python 2.7 and 3.5 support -### 2.3.9 +## 2.3.9 + - Fix for available measures in a cube set - More forgiving about types and special characters in dimension ids -### 2.3.8 +## 2.3.8 + - Allow sorting by derived insertion on MRs - Refactor transforms to prefer referring to subvariables by alias -### 2.3.7 +## 2.3.7 + - Allow sorting by label -### 2.3.6 +## 2.3.6 + - Fix row share of sum denominator -### 2.3.5 +## 2.3.5 + - Fix scorecards with MR insertions -### 2.3.4 +## 2.3.4 + - Consolidate stipe counts - Sort by value stripe -### 2.3.3 +## 2.3.3 + - Fix Python 2 syntax issue -### 2.3.2 +## 2.3.2 + - Allow hiding MR insertions -### 2.3.1 +## 2.3.1 + - Consolidate weighted counts - Fix bug with weighted counts for numeric arrays -### 2.3.0 +## 2.3.0 + - Consolidation of weighted counts such that bases are no longer calculated by adding across subvariables. - Removed the `_Slice.table_margin_unpruned` property, instead use `_Slice.table_margin_range` to get the unpruned range of table margins. -### 2.2.3 +## 2.2.3 + - More sort-by-value support including a fallback to payload order -### 2.2.2 +## 2.2.2 + - Can now sort by value for unweighted base and the margin proportion -### 2.2.1 +## 2.2.1 + - Bug fix for sort-by-col-index -### 2.2.0 +## 2.2.0 + - Can now get indices of MR (pre-query) insertions - Support for sorting by value margins, column index and table percentages. - rows_margin & columns_margin are now 2D when summing across array subvariables, not just for MR variables. -### 2.1.34 +## 2.1.34 + - Support subtotal differences for hypothesis testing. -### 2.1.33 +## 2.1.33 + - Support sort-by-value for "scale_mean", "scale_mean_stddev" & "scale_median". - Scale medians calculation now considers fractional counts from weights. -### 2.1.32 +## 2.1.32 + - Fix scale_std_dev and scale_std_err for stripes when total counts is 0. -### 2.1.31 +## 2.1.31 + - Implement sort-by-value for all measures that have been consolidated so far. - Zscores measure consolidation. -### 2.1.30 +## 2.1.30 + - Fix population counts for categorical array. -### 2.1.29 +## 2.1.29 + - Omit rows/columns margin on subtotal difference. -### 2.1.28 +## 2.1.28 + - fix: pairwise mean indices in case of empty numpy array. - population fraction for Categorical Dates. - Omit scale median on the row of a row subtotal difference or the column of a column subtotal difference. -### 2.1.27 +## 2.1.27 + - fix: population counts for cat dates. - fix: filtered population fraction for a univariate cat date filter. -### 2.1.26 +## 2.1.26 + - fix: overlaps for MR x MR. -### 2.1.25 +## 2.1.25 + - fix: sort-by-value keyword to "percent". -### 2.1.24 +## 2.1.24 + - Wire up `_Strand` sort-by-value for "univariate-measure" keyword case. - This should fix the existing alpha-Sentry error on sort-by-value for FREQUENCY analyses (aka. 1D card, `_Strand`). -### 2.1.23 +## 2.1.23 + - Valid weighted and unweighted counts per cell measures -### 2.1.22 +## 2.1.22 + - Fix t_stats sign for mean differences -### 2.1.21 +## 2.1.21 + - Fix overlaps pairwise significance -### 2.1.20 +## 2.1.20 + - Fix sig letters for mean differences -### 2.1.19 +## 2.1.19 + - Fix pairwise bug (with empty indices) -### 2.1.18 +## 2.1.18 + - Fix alt pairwise bug (with no alt alpha) -### 2.1.17 +## 2.1.17 + - Fix overlaps pairwise signs - Add overlaps pairwise indices -### 2.1.16 +## 2.1.16 + - Fix overlaps pairwise significance for MR -### 2.1.15 +## 2.1.15 + - Pairwise t test for mean differences -### 2.1.14 +## 2.1.14 + - Improve pairwise t test performance -### 2.1.13 +## 2.1.13 + - Handle hiding transforms with subvar alias and id - Additional share of sum measures - Overlaps for MRxMR matrix -### 2.1.12 +## 2.1.12 + - Bug fixes for subtotal differences -### 2.1.11 +## 2.1.11 + - Bug fix for numeric array with weighted counts -### 2.1.10 +## 2.1.10 + - Add pairwise t test considering overlaps - Add hare of sum measure -### 2.1.9 +## 2.1.9 + - Improvements to subtotal differences -### 2.1.8 +## 2.1.8 + - Add cube std deviation measure -### 2.1.7 +## 2.1.7 + - Add cube sum measure -### 2.1.6 +## 2.1.6 + - Enable explicit ordering by subvar IDs (strings) -### 2.1.5 +## 2.1.5 + - Bug fix for shape calculation on numeric arrays. -### 2.1.4 +## 2.1.4 + - Change `population_moe` -> `population_counts_moe` for `_Strand` -### 2.1.3 +## 2.1.3 + - Transpose dimension for numeric arrays -### 2.1.2 +## 2.1.2 + - Handle numeric array explicit order -### 2.1.1 +## 2.1.1 + - Custom column bases for Numeric Array matrix types -### 2.1.0 +## 2.1.0 + - Measure Consolidation -### 2.0.3 +## 2.0.3 + - Fix mean measure for CubeSet -### 2.0.2 +## 2.0.2 + - Expose `cube.valid_counts` and `cube.valid_counts_summary` -### 2.0.1 +## 2.0.1 + - Fix row standard error for MR x MR -### 2.0.0 +## 2.0.0 + - De-vectorize matrix.py and add sort-by-value - Remove old api interface -### 1.12.11 +## 1.12.11 + - Numeric array measures available -### 1.12.10 +## 1.12.10 + - Selected category labels partition interface -### 1.12.9 +## 1.12.9 + - Margin of error for row % - Margin of error for population - Std deviation and std error for row % -### 1.12.8 +## 1.12.8 + - Fix pairwise t-test for scale means - Fix UserWarning for smoothing measures - Move cr.cube.enum -> cr.cube.enums -### 1.12.7 +## 1.12.7 + - Margin of error for 1D cubes - Allow pairwise significance for CA_SUBVAR -### 1.12.6 +## 1.12.6 + - T-stats scale means for multiple response - Margin of error for column percentages -### 1.12.4 +## 1.12.4 + - Measure expression evaluation method - Multiple response allowed for pairwise comparison -### 1.12.3 +## 1.12.3 + - Bug fix for t_stats scale means -### 1.12.2 +## 1.12.2 + - Smoothing on scale means -### 1.12.1 +## 1.12.1 + - Smoothing on column percentages and column index -### 1.11.37 +## 1.11.37 + - PR 216: Document matrix.py classes and properties -### 1.11.36 +## 1.11.36 + - Hypotesis testing for subtotals (heading and insertions) -### 1.11.35 +## 1.11.35 + - Bug fix for hypothesis testing with overlaps -### 1.11.34 +## 1.11.34 + - Bug fix for augmented MRxMR matrices -#### 1.11.33 +## 1.11.33 + - Manage augmentation for MRxMR matrices -#### 1.11.32 +## 1.11.32 + - Handle hidden option for insertions -#### 1.11.31 +## 1.11.31 + - Use bases instead of margin for MR `standard_error` calculation -#### 1.11.30 +## 1.11.30 + - Fix `standard_error` calculation for MR types -#### 1.11.29 +## 1.11.29 + - Fix `standard_error` denominator for `Strand` -#### 1.11.28 +## 1.11.28 + - Fix collapsed `scale-mean-pairwise-indices` -#### 1.11.27 +## 1.11.27 + - Standard deviation and standard error for `Strand` -#### 1.11.26 +## 1.11.26 + - Fix `pairwise_indices()` array collapse when all values empty -#### 1.11.25 +## 1.11.25 + - Expose two-level pairwise-t-test -#### 1.11.24 +## 1.11.24 + - Bug fix for scale_median calculation -#### 1.11.23 +## 1.11.23 + - Expose population fraction in cube partitions -#### 1.11.22 +## 1.11.22 + - Additional summary measures for scale (`std_dev`, `std_error`, `median`) -#### 1.11.21 +## 1.11.21 + - Fix slicing for CA + single col filter -#### 1.11.20 +## 1.11.20 + - Fix cube title payload discrepancy -#### 1.11.19 +## 1.11.19 + - Fix problem where pre-ordering anchor-idx was used for locating inserted subtotal vectors - Enable handling of filter-only multitable-template placeholders. - New measures: table and columns standard deviation and standard error -#### 1.11.18 +## 1.11.18 + - Fix wrong proportions and base values when explicit order is expressed -#### 1.11.17 +## 1.11.17 + - Fix incorrect means values after hiding -#### 1.11.16 +## 1.11.16 + - New base for t_stats overlaps -#### 1.11.15 +## 1.11.15 + - Fix t_stats values for overlaps -#### 1.11.14 +## 1.11.14 + - Bug fix for margin property in MeanVector -#### 1.11.13 +## 1.11.13 + - Correct tstatistcs for multiple response - New tstats measure in MRxMR Matrix - New pairwise significance test for CATxMRxITSELF (5D) cubes - New cube partition methods for residuals values -#### 1.11.12 +## 1.11.12 + - Bug fix on residuals for subtotals -#### 1.11.11 +## 1.11.11 + - Two-tailed t-tests for scale means - Pairwise significance measure for scale means -#### 1.11.10 +## 1.11.10 + - zscore and pval measures for headers and subtotals -#### 1.11.9 +## 1.11.9 + - 100% test coverage - New `is_empty` property in each of cube partition -#### 1.11.8 +## 1.11.8 + - Increase test coverage - Fix 2D cubes that have means with insertions -#### 1.11.7 +## 1.11.7 + - Fix a bug when MR x MR table is pruned on both dimensions -#### 1.11.6 +## 1.11.6 + - Calculate population size fraction using complete cases -#### 1.11.5 +## 1.11.5 + - Fix pval calculation issues with defective matrices (rank < 2) - Fix occasional overflowing issues, that arise from `np.empty` usage (use `np.zeros` instead) -#### 1.11.3 +## 1.11.3 + - Add `cr.cube.cube.CubeSet` and automatic dimension inflation for (0D, 1D, 1D, ...) cube sets. -#### 1.11.2 +## 1.11.2 + - Mostly renaming and support for numeric means in tabbooks -#### 1.11.1 +## 1.11.1 + - Fix `fill` for insertions -#### 1.11.0 +## 1.11.0 + - Significant refactor of the frozen cube code (even thought most of the logic is the same) -#### 1.10.6 +## 1.10.6 + - Fix index error by fixing the indexing array type to int (it used to default to float when the indexed array is empty) -#### 1.10.5 +## 1.10.5 + - Implement (frozen) `Cube` - responsible for (frozen) `_Slice` creation -#### 1.10.4 +## 1.10.4 + - Column index with insertions (as dashes) -#### 1.10.4 +## 1.10.4 + - Fix means on `_Slice` having subtotals. -#### 1.10.3 +## 1.10.3 + - Refactor hidden and pruned slices -#### 1.10.2 +## 1.10.2 + - Fix getting element ids from transforms shim - Check for both int and str versions in incoming dictionaries - This needs to be properly fixed in the shim code, but this code "just" provides extra safety -#### 1.10.1 +## 1.10.1 + - Add `fill` property to `_Element`, and provide fill information through `FrozenSlice` API. - Increase test coverage (for various MR and Means cases) -#### 1.10.0 +## 1.10.0 + - Initial stab at `FrozenSlice` -#### 1.9.19 +## 1.9.19 + - Fix `None` anchor -#### 1.9.18 +## 1.9.18 + - Pairwise summary as T-Stats -#### 1.9.17 +## 1.9.17 + - Unweighted N as basis for t-stats -#### 1.9.16 +## 1.9.16 + - Proper t-stats for cubes with H&S -#### 1.9.15 +## 1.9.15 + - Implement pairwise indices for Wishart, directly in cube -#### 1.9.14 +## 1.9.14 + - Fix how Headings and Subtotals are treated in pairwise indices - Row dimension is treated when calculating indices, while the column dimension is treated by inserting NaN placeholders -#### 1.9.13 +## 1.9.13 + - Parametrize pairwise comparisons based on column - Add placeholders for insertions -#### 1.9.12 +## 1.9.12 + - Implement pairwise comparisons based on T-Stats -#### 1.9.11 +## 1.9.11 + - Eliminate `memoize` from `Dimension`, and thus reduce probability of threading bugs -#### 1.9.10 +## 1.9.10 + - Fix scale means for cubes with single-element categories -#### 1.9.9 +## 1.9.9 + - Enable other category-like types when comparing pairwise (datetime, text and binned numeric) -#### 1.9.8 +## 1.9.8 + - Enable pruning for min-base-size masks -#### 1.9.7 +## 1.9.7 + - Implement Min Base Size suppression masks -#### 1.9.8 +## 1.9.8 + - Enable pruning for min-base-size masks -#### 1.9.7 +## 1.9.7 + - Implement Min Base Size suppression masks -#### 1.9.6 +## 1.9.6 + - Make `margin` explicit in CubeSlice - Fix calculation of `scale_means_margin` as a result -#### 1.9.5 +## 1.9.5 + - Fix calculating population counts for CAxCAT slices, that need to be treated as 0th cubes in tabbooks -#### 1.9.4 +## 1.9.4 + - Enable `CA_CAT` as a dimension type when calculating Pairwise Comparisons -#### 1.9.3 +## 1.9.3 + - Support H&S when calculating Pairwise Comparisons -#### 1.9.2 +## 1.9.2 + - Fix `scale_means` for Categorical Array (as a 0th slice in Tabbooks) where categorical doesn't have any numerical values -#### 1.9.1 +## 1.9.1 + - Fix `scale_means` for Categorical Array (as a 0th slice in Tabbooks) -#### 1.9.0 +## 1.9.0 + - Implement pairwise comparisons -#### 1.8.6 +## 1.8.6 + - Fix pruning for single element MRs -#### 1.8.5 +## 1.8.5 + - Fix `index_table` for MR x MR where either dimension has a only single element -#### 1.8.4 +## 1.8.4 + - Fix `index_table` for MR (single element) x CAT -#### 1.8.3 +## 1.8.3 + - fix second "broadcast error" bug (different cause) - refactor to extract `_Measures` object and related - other general factoring improvements in `cr.cube.crunch_cube` -#### 1.8.2 +## 1.8.2 + - fix "broadcast error" bug - improve test coverage - relocate test fixtures and add cached fixture lazy-loading -#### 1.8.1 +## 1.8.1 + - Major Cube refactor and a couple bugfixes -#### 1.8.0 +## 1.8.0 + - Major refactor of `Dimension` class -#### 1.7.3 +## 1.7.3 + - Implement pruning for index tables -#### 1.7.2 +## 1.7.2 + - Implement correct index table functionality - Deprecate old index functionality -#### 1.7.1 Fix index error +## 1.7.1 Fix index error + - Fix peculiar case of CA x CAT (single elem) index error - Support with unit tests - Create base for fixing exporter issues -#### 1.7.0 Normalization, PEP8 and bugfix +## 1.7.0 Normalization, PEP8 and bugfix + - Refactored to remove a couple modules - Fixed pesky numpy warnings - Replaced vulnerable lazyproperty implementation -#### 1.6.11 Deprecate `shape` +## 1.6.11 Deprecate `shape` + - Deprecate the `CubeSlice` `shape` property - Use `get_shape(prune=False)` instead - Will be removed in future versions -#### 1.6.10 Fix README on pypi +## 1.6.10 Fix README on pypi + +## 1.6.9 Bugfix -#### 1.6.9 Bugfix - When Categorical Array variable is selected in multitable export, and Scale Means is selected, the cube fails, because it tries to access the non-existing slice (the CA is only _interpreted_ as multiple slices in tabbooks). This fix makes sure that the export cube doesn't fail in such case. -#### 1.6.8 Scale Means Marginal +## 1.6.8 Scale Means Marginal + - Add capability to calculate the scale means marginal. This is used when analysing a 2D cube, and obtaining a sort of a "scale mean _total_" for each of the variables constituting a cube. -#### 1.6.7 Population fraction +## 1.6.7 Population fraction + - Various bugfixes and optimizations. - Add property `population_fraction`. This is needed for the exporter to be able to calculate the correct population counts, based on weighted/unweighted and filtered/unfiltered states of the cube. - Apply newly added `population_fraction` to the calculation of `population_counts`. - Modify API for `scale_means`. It now accepts additional parameters `hs_dims` (defaults to `None`) and `prune` (defaults to `False`). Also, the format of the return value is slightly different in nature. It is a list of lists of numpy arrrays. It functions like this: - - The outermost list corresponds to cube slices. If cube.ndim < 3, then it's a single-element list - - Inner lists have either 1 or 2 elements (if they're a 1D cube slice, or a 2D cube slice, respectively). - - If there are scale means defined on the corresponding dimension of the cube slice, then the inner list element is a numpy array with scale means. If it doesn't have scale means defined (numeric values), then the element is `None`. + - The outermost list corresponds to cube slices. If cube.ndim < 3, then it's a single-element list + - Inner lists have either 1 or 2 elements (if they're a 1D cube slice, or a 2D cube slice, respectively). + - If there are scale means defined on the corresponding dimension of the cube slice, then the inner list element is a numpy array with scale means. If it doesn't have scale means defined (numeric values), then the element is `None`. - Add property `ca_dim_ind` to `CubeSlice`. -- Add property `is_double_mr` to `CubeSlice` (which is needed since it differs from the interpretation of the cube. E.g. MR x CA x MR will render slices which are *not* double MRs). +- Add property `is_double_mr` to `CubeSlice` (which is needed since it differs from the interpretation of the cube. E.g. MR x CA x MR will render slices which are _not_ double MRs). - Add `shape`, `ndim`, and `scale_means` to `CubeSlice`, for accessibility. - `index` now also operates on slices (no api change). -#### 1.6.6 Added support for CubeSlice, which always represents a +## 1.6.6 Added support for CubeSlice, which always represents a + - 2D cube (even if they're the slices of a 3D cube). - Various fixes for support of wide-export -#### 1.6.5 Fixes for Pruning and Headers and subtotals. +## 1.6.5 Fixes for Pruning and Headers and subtotals + - Population size support. - Fx various calculations in 3d cubes. -#### 1.6.4 Fixes for 3d Pruning. +## 1.6.4 Fixes for 3d Pruning -#### 1.6.2 support "Before" and "After" in variable transformations since they exist in zz9 data. +## 1.6.2 support "Before" and "After" in variable transformations since they exist in zz9 data -#### 1.6.1 `standardized_residuals` are now included. +## 1.6.1 `standardized_residuals` are now included -#### 1.6.0 Z-Score and bug fixes. +## 1.6.0 Z-Score and bug fixes -#### 1.5.3 Fix bugs with invalid input data for H&S +## 1.5.3 Fix bugs with invalid input data for H&S -#### 1.5.2 Fix bugs with `anchor: 0` for H&S +## 1.5.2 Fix bugs with `anchor: 0` for H&S -#### 1.5.1 Implement index for MR x MR +## 1.5.1 Implement index for MR x MR -#### 1.5.0 Start implementing index table functionality +## 1.5.0 Start implementing index table functionality -#### 1.4.5 Fix MR x MR proportions calculation +## 1.4.5 Fix MR x MR proportions calculation -#### 1.4.4 Implement obtaining labels with category ids (useful for H&S in exporter) +## 1.4.4 Implement obtaining labels with category ids (useful for H&S in exporter) -#### 1.4.3 Fix bug (exporting 2D crtab with H&S on row only) +## 1.4.3 Fix bug (exporting 2D crtab with H&S on row only) -#### 1.4.2 Fix bugs discovered by first `cr.exporter` deploy to alpha +## 1.4.2 Fix bugs discovered by first `cr.exporter` deploy to alpha -#### 1.4.1 Update based on deck tests from `cr.server` +## 1.4.1 Update based on deck tests from `cr.server` -#### 1.4 Update based on tabbook tests from `cr.lib` +## 1.4 Update based on tabbook tests from `cr.lib` -#### 1.3 Implement Headers & Subtotals +## 1.3 Implement Headers & Subtotals -#### 1.2 Support exporter +## 1.2 Support exporter -#### 1.1 Fix stray ipdb. +## 1.1 Fix stray ipdb -#### 1.0 Initial release +## 1.0 Initial release diff --git a/README.md b/README.md index 03a277b5b..4f5bc0a63 100644 --- a/README.md +++ b/README.md @@ -125,38 +125,4 @@ The detailed description can be found - Median measure -### 3.0.42 - -- Inflate cubes that are single column filters - -### 3.0.41 - -- Remove `deepcopy` from dimension module due to a performance issue - -### 3.0.40 - -- Fix bug with weighted vs unweighted in pairwise effect calculation - -### 3.0.39 - -- Remove cube response deepcopy due to a performance issue - -### 3.0.38 - -- Improve calculation of DoF for pairwise comparison -- Use effective counts as column bases for DoF - -### 3.0.37 - -- Add squared counts as a cube measure -- Enable calculating pairwise stats with effective denominator - -### 3.0.36 - -- Fix bug in pairwise sig values for means. - -### 3.0.35 - -- Fix bug where categorical dimension would sometimes be interpreted as `MR_CATS`. - For a complete list of changes see [history](https://github.com/Crunch-io/crunch-cube/blob/master/HISTORY.md).