Creating Example Data | Classical Multidimensional Scaling (MDS) | Accessing Stored MDS Object | t-SNE (t-distributed Stochastic Neighbor Embedding) | t-SNE Parameters | UMAP (Uniform Manifold Approximation and Projection) | UMAP Parameters | Comparing Methods | Gene-Level Dimensionality Reduction | Multiple Dimensions | Using with to_long() | Summary
Package: tidymatrix 0.1.0
tidymatrix: Tidyverse-Style Operations on Matrices with Row and Column Metadata
Provides a unified data structure for matrices with associated row and column metadata, enabling 'tidyverse'-style data manipulation. Following the approach of 'tidygraph', users can activate rows, columns, or the matrix itself and operate on it with familiar 'dplyr' verbs, while the matrix and both metadata tables are kept consistent.
Authors:
tidymatrix_0.1.0.tar.gz
tidymatrix_0.1.0.zip(r-4.7-any)tidymatrix_0.1.0.zip(r-4.6-any)tidymatrix_0.1.0.zip(r-4.5-any)
tidymatrix_0.1.0.tgz(r-4.6-any)tidymatrix_0.1.0.tgz(r-4.5-any)
tidymatrix_0.1.0.tar.gz(r-4.7-any)tidymatrix_0.1.0.tar.gz(r-4.6-any)
tidymatrix_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tidymatrix/json (API)
| # Install 'tidymatrix' in R: |
| install.packages('tidymatrix', repos = c('https://raivokolde.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/raivokolde/tidymatrix/issues
Pkgdown/docs site:https://raivokolde.github.io
Datasets:
- big5_countries - Country information for the Big Five survey
- big5_items - Simulated Big Five personality survey
- big5_respondents - Simulated Big Five personality survey
- big5_responses - Simulated Big Five personality survey
Last updated from:250749d668. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 159 | ||
| source / vignettes | OK | 198 | ||
| linux-release | OK | 150 | ||
| macos-release | OK | 156 | ||
| macos-oldrel | OK | 179 | ||
| windows-devel | OK | 117 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 102 | ||
| wasm-release | OK | 103 |
Exports:activateactiveadd_statsas_tibblecentercheck_analysesclip_valuescompute_acrosscompute_anovacompute_correlationcompute_hclustcompute_kmeanscompute_kruskalcompute_lmcompute_lm_simplecompute_mdscompute_prcompcompute_tsnecompute_ttestcompute_umapcompute_wilcoxget_analysisis_grouped_tidymatrixis_tidymatrixlist_analyseslog_transformplot_pheatmappull_activeremove_analysistidymatrixto_longtransform_matrix
Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
MDS, t-SNE and UMAP
Last update: 2026-09-28
Started: 2026-01-06
Getting started with tidymatrix
The example data | Working with rows and columns | Joins | Matrix operations | PCA, clustering and MDS | Statistics for every row or column | Plotting and exporting | Where next
Last update: 2026-09-28
Started: 2026-01-06
Joins
Mutating joins on rows | Left join: add columns, keep every respondent | Inner join: keep only respondents with a match | Right and full joins: new rows get NA in the matrix | Filtering joins | Joins on columns | Joining on differently named keys | Duplicate keys | Joins and stored analyses | See also
Last update: 2026-09-28
Started: 2026-01-06
Matrix operations
Summary statistics into metadata | Custom transformations with transform_matrix() | Reverse-scoring items | Whole-matrix transformations | Column- and row-wise transformations | Centering and scaling | Standardising items | Removing response style | Clipping | Log transformation | Transposing | Getting the matrix out | Matrix operations and stored analyses | See also
Last update: 2026-09-28
Started: 2026-01-06
PCA and clustering
Data | PCA | Which way? | PCA on respondents | PCA on items | Hierarchical clustering | Clustering items | Clustering respondents | k-means | Profiling clusters | Comparing clusterings | Managing stored analyses | When stored analyses are dropped | See also
Last update: 2026-09-28
Started: 2026-01-06
Plotting and exporting
Data | Plotting metadata | PCA of respondents | PCA of items | Relationships between metadata variables | Test results | Plotting individual values with to_long() | Heatmaps | Respondents × items | Aggregated heatmap | Exporting | The matrix | The metadata | Everything at once | See also
Last update: 2026-09-28
Started: 2026-01-06
Row- and column-wise statistics
Data | Comparing two groups | t-test | Wilcoxon test | Continuous variables | Correlation | Simple regression | Multiple regression | More than two groups | Your own function: compute_across() | Row-wise statistics | Storing results in the metadata | See also
Last update: 2026-09-28
Started: 2026-01-06
Working with rows and columns
Activation | Filtering | Adding and changing metadata | Selecting, renaming and relocating metadata columns | Reordering | Slicing | Grouping and summarising | Summarising columns: one score per trait | Summarising rows: group profiles | Other aggregation functions | Counting | Putting it together | A note on stored analyses
Last update: 2026-09-28
Started: 2026-09-28
