A B C D E F G H I K L M N O P R S T U V W misc
| adata | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| adata-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| add_alpha | Color Palettes |
| add_facets | A Simple Grammar of Base Graphics |
| add_mark | A Simple Grammar of Base Graphics |
| aindex | Sparse Vectors and Matrices |
| aindex-method | Sparse Vectors and Matrices |
| all-method | Summary Statistics for "matter" Objects |
| any-method | Summary Statistics for "matter" Objects |
| approx1 | Resampling in 1D with Interpolation |
| approx2 | Resampling in 2D with Interpolation |
| Arith | Deferred Operations on "matter" Objects |
| Arith-method | Deferred Operations on "matter" Objects |
| as.array-method | Out-of-Memory Arrays |
| as.array-method | Sparse Vectors and Matrices |
| as.character-method | Out-of-Memory Strings |
| as.data.frame-method | Delta Run Length Encoding |
| as.data.frame-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| as.data.frame-method | Streaming Summary Statistics |
| as.factor-method | Delta Run Length Encoding |
| as.factor-method | Out-of-Memory Factors |
| as.integer-method | Delta Run Length Encoding |
| as.integer-method | Out-of-Memory Arrays |
| as.list-method | Delta Run Length Encoding |
| as.list-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| as.list-method | Out-of-Memory Lists of Vectors |
| as.logical-method | Out-of-Memory Arrays |
| as.matrix-method | Out-of-Memory Arrays |
| as.matrix-method | Sparse Vectors and Matrices |
| as.matter | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| as.numeric-method | Delta Run Length Encoding |
| as.numeric-method | Out-of-Memory Arrays |
| as.raw-method | Out-of-Memory Arrays |
| as.sparse | Sparse Vectors and Matrices |
| as.vector-method | Delta Run Length Encoding |
| as.vector-method | Out-of-Memory Arrays |
| as.vector-method | Out-of-Memory Strings |
| asearch | Approximate Key-Value Search |
| as_facets | A Simple Grammar of Base Graphics |
| atomdata | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| atomdata-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| atomdata-method | Sparse Vectors and Matrices |
| atomdata<- | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| atomdata<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| atomindex | Sparse Vectors and Matrices |
| atomindex-method | Sparse Vectors and Matrices |
| atomindex<- | Sparse Vectors and Matrices |
| atomindex<--method | Sparse Vectors and Matrices |
| atoms | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| atoms-class | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| bigglm | Linear Regression for "matter" Matrices |
| bigglm-method | Linear Regression for "matter" Matrices |
| binpeaks | Peak Processing |
| binvec | Binned Summaries of a Vector |
| bsearch | Binary Search with Approximate Matching |
| c-method | Delta Run Length Encoding |
| c-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| c-method | Out-of-Memory Arrays |
| c-method | Out-of-Memory Lists of Vectors |
| c-method | Out-of-Memory Strings |
| c-method | A Simple Grammar of Base Graphics |
| cbind2-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| cbind2-method | Out-of-Memory Arrays |
| cbind2-method | Sparse Vectors and Matrices |
| checksum | Calculate Checksums and Cryptographic Hashes |
| checksum-method | Calculate Checksums and Cryptographic Hashes |
| chunkApply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunkify | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunkLapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunkMapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_apply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_colapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_lapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_mapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_rowapply | Apply Functions Over Chunks of a List, Vector, or Matrix |
| chunk_writer | Apply Functions Over Chunks of a List, Vector, or Matrix |
| class:atoms | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| class:drle | Delta Run Length Encoding |
| class:drle_fct | Delta Run Length Encoding |
| class:matter | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| class:matter_arr | Out-of-Memory Arrays |
| class:matter_fct | Out-of-Memory Factors |
| class:matter_list | Out-of-Memory Lists of Vectors |
| class:matter_mat | Out-of-Memory Arrays |
| class:matter_str | Out-of-Memory Strings |
| class:matter_vec | Out-of-Memory Arrays |
| class:sparse_arr | Sparse Vectors and Matrices |
| class:sparse_mat | Sparse Vectors and Matrices |
| class:sparse_vec | Sparse Vectors and Matrices |
| coef.opls | Partial Least Squares |
| coldist | Compute Distances between Rows or Columns of a Matrix |
| colDistFun | FastMap Projection |
| colDists | Compute Distances between Rows or Columns of a Matrix |
| colDists-method | Compute Distances between Rows or Columns of a Matrix |
| coldist_at | Compute Distances between Rows or Columns of a Matrix |
| colMeans | Summary Statistics for "matter" Objects |
| colMeans-method | Summary Statistics for "matter" Objects |
| colscale | Scaling and Centering by Row or Column Based on Grouping |
| colscale-method | Scaling and Centering by Row or Column Based on Grouping |
| colStats | Row and Column Summary Statistics Based on Grouping |
| colStats-method | Row and Column Summary Statistics Based on Grouping |
| colSums | Summary Statistics for "matter" Objects |
| colSums-method | Summary Statistics for "matter" Objects |
| colsweep | Sweep out Matrix Summaries Based on Grouping |
| colsweep-method | Sweep out Matrix Summaries Based on Grouping |
| combine-method | Delta Run Length Encoding |
| combine-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| combine-method | Out-of-Memory Arrays |
| combine-method | Out-of-Memory Factors |
| combine-method | Out-of-Memory Lists of Vectors |
| combine-method | Out-of-Memory Strings |
| combine-method | Streaming Summary Statistics |
| combine-method | A Simple Grammar of Base Graphics |
| Compare | Deferred Operations on "matter" Objects |
| convolve_at | Convolution at Arbitrary Indices |
| coscore | Colocalization Coefficients |
| cpal | Color Palettes |
| crossprod-method | Out-of-Memory Arrays |
| crossprod-method | Sparse Vectors and Matrices |
| cv_do | Perform Cross Validation |
| cwt | CWT-based Peak Detection |
| dim-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| dim-method | Out-of-Memory Arrays |
| dim-method | Out-of-Memory Lists of Vectors |
| dim-method | Out-of-Memory Strings |
| dim-method | Sparse Vectors and Matrices |
| dim<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| dim<--method | Out-of-Memory Arrays |
| dimnames-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| dimnames<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| dims-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| domain | Sparse Vectors and Matrices |
| domain-method | Sparse Vectors and Matrices |
| domain<- | Sparse Vectors and Matrices |
| domain<--method | Sparse Vectors and Matrices |
| downsample | Downsample a Signal |
| dpal | Color Palettes |
| drle | Delta Run Length Encoding |
| drle-class | Delta Run Length Encoding |
| drle_fct | Delta Run Length Encoding |
| drle_fct-class | Delta Run Length Encoding |
| droplevels-method | Delta Run Length Encoding |
| Encoding-method | Out-of-Memory Strings |
| Encoding<--method | Out-of-Memory Strings |
| enhance | Contrast Enhancement |
| enhance_adapt | Contrast Enhancement |
| enhance_hist | Contrast Enhancement |
| estbase | Continuum Estimation |
| estbase_hull | Continuum Estimation |
| estbase_loc | Continuum Estimation |
| estbase_med | Continuum Estimation |
| estbase_snip | Continuum Estimation |
| estdim | Estimate Raster Dimensions |
| estnoise | Local Noise Estimation |
| estnoise_diff | Local Noise Estimation |
| estnoise_filt | Local Noise Estimation |
| estnoise_mad | Local Noise Estimation |
| estnoise_quant | Local Noise Estimation |
| estnoise_sd | Local Noise Estimation |
| estres | Estimate Signal Resolution |
| fastmap | FastMap Projection |
| filt1 | Smoothing Filters in 1D |
| filt1_adapt | Smoothing Filters in 1D |
| filt1_bi | Smoothing Filters in 1D |
| filt1_conv | Smoothing Filters in 1D |
| filt1_diff | Smoothing Filters in 1D |
| filt1_gauss | Smoothing Filters in 1D |
| filt1_guide | Smoothing Filters in 1D |
| filt1_ma | Smoothing Filters in 1D |
| filt1_pag | Smoothing Filters in 1D |
| filt1_sg | Smoothing Filters in 1D |
| filt2 | Smoothing Filters in 2D |
| filt2_adapt | Smoothing Filters in 2D |
| filt2_bi | Smoothing Filters in 2D |
| filt2_conv | Smoothing Filters in 2D |
| filt2_diff | Smoothing Filters in 2D |
| filt2_gauss | Smoothing Filters in 2D |
| filt2_guide | Smoothing Filters in 2D |
| filt2_ma | Smoothing Filters in 2D |
| findbins | Downsample a Signal |
| findpeaks | Peak Detection |
| findpeaks_cwt | CWT-based Peak Detection |
| findridges | CWT-based Peak Detection |
| fitted.cv | Perform Cross Validation |
| fitted.nscentroids | Nearest Shrunken Centroids |
| fitted.opls | Partial Least Squares |
| fitted.pls | Partial Least Squares |
| fitted.sgmix | Spatial Gaussian Mixture Model |
| getRNGStream | Parallel RNG Streams |
| hex2raw | Universally Unique Identifiers |
| icor | Warping to Align 1D Signals |
| inpoly | Point in polygon |
| is.drle | Delta Run Length Encoding |
| is.matter | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| is.sparse | Sparse Vectors and Matrices |
| is_gridded | Rasterize a Scattered 2D or 3D Signal |
| kdsearch | K-Dimensional Nearest Neighbor Search |
| kdtree | K-Dimensional Nearest Neighbor Search |
| knnsearch | K-Dimensional Nearest Neighbor Search |
| length-method | Delta Run Length Encoding |
| length-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| length-method | Out-of-Memory Lists of Vectors |
| length-method | Out-of-Memory Strings |
| length-method | Sparse Vectors and Matrices |
| length<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| lengths-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| lengths-method | Out-of-Memory Lists of Vectors |
| lengths-method | Out-of-Memory Strings |
| lengths-method | Sparse Vectors and Matrices |
| levels-method | Delta Run Length Encoding |
| levels-method | Out-of-Memory Factors |
| levels<--method | Delta Run Length Encoding |
| levels<--method | Out-of-Memory Factors |
| locmax | Peak Detection |
| locmin | Peak Detection |
| Logic | Deferred Operations on "matter" Objects |
| logLik.nscentroids | Nearest Shrunken Centroids |
| logLik.sgmix | Spatial Gaussian Mixture Model |
| logLik.sgmixn | Spatial Gaussian Mixture Model |
| matter | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| matter-class | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| matter-options | Options for "matter" Objects |
| matter-types | Data Types for "matter" Objects |
| matter_arr | Out-of-Memory Arrays |
| matter_arr-class | Out-of-Memory Arrays |
| matter_fct | Out-of-Memory Factors |
| matter_fct-class | Out-of-Memory Factors |
| matter_list | Out-of-Memory Lists of Vectors |
| matter_list-class | Out-of-Memory Lists of Vectors |
| matter_mat | Out-of-Memory Arrays |
| matter_mat-class | Out-of-Memory Arrays |
| matter_str | Out-of-Memory Strings |
| matter_str-class | Out-of-Memory Strings |
| matter_vec | Out-of-Memory Arrays |
| matter_vec-class | Out-of-Memory Arrays |
| max-method | Summary Statistics for "matter" Objects |
| mean-method | Summary Statistics for "matter" Objects |
| mem | Check Memory Use |
| memtime | Check Memory Use |
| mergepeaks | Peak Processing |
| mi | Warping to Align 2D Signals |
| min-method | Summary Statistics for "matter" Objects |
| mi_learn | Multiple Instance Learning |
| names-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| names<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| nndsvd | Nonnegative Matrix Factorization |
| nnmf | Nonnegative Matrix Factorization |
| nnmf_als | Nonnegative Matrix Factorization |
| nnmf_mult | Nonnegative Matrix Factorization |
| nnpairs | K-Dimensional Nearest Neighbor Search |
| nnzero-method | Sparse Vectors and Matrices |
| nscentroids | Nearest Shrunken Centroids |
| opls | Partial Least Squares |
| opls_nipals | Partial Least Squares |
| Ops | Deferred Operations on "matter" Objects |
| path | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| path-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| path<- | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| path<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| peakareas | Peak Summarization |
| peakheights | Peak Summarization |
| peakwidths | Peak Summarization |
| plot-method | A Simple Grammar of Base Graphics |
| plot-method | Plotting Graphical Marks |
| plot.vizi_bars | Plotting Graphical Marks |
| plot.vizi_boxplot | Plotting Graphical Marks |
| plot.vizi_image | Plotting Graphical Marks |
| plot.vizi_intervals | Plotting Graphical Marks |
| plot.vizi_lines | Plotting Graphical Marks |
| plot.vizi_peaks | Plotting Graphical Marks |
| plot.vizi_pixels | Plotting Graphical Marks |
| plot.vizi_points | Plotting Graphical Marks |
| plot.vizi_rules | Plotting Graphical Marks |
| plot.vizi_text | Plotting Graphical Marks |
| plot.vizi_voxels | Plotting Graphical Marks |
| plot_image | Plot a Signal or Image |
| plot_signal | Plot a Signal or Image |
| pls | Partial Least Squares |
| pls_kernel | Partial Least Squares |
| pls_nipals | Partial Least Squares |
| pls_simpls | Partial Least Squares |
| pointers | Sparse Vectors and Matrices |
| pointers-method | Sparse Vectors and Matrices |
| pointers<- | Sparse Vectors and Matrices |
| pointers<--method | Sparse Vectors and Matrices |
| prcomp | Principal Components Analysis for "matter" Matrices |
| prcomp-method | Principal Components Analysis for "matter" Matrices |
| prcomp_lanczos | Principal Components Analysis for "matter" Matrices |
| predict.fastmap | FastMap Projection |
| predict.nnmf | Nonnegative Matrix Factorization |
| predict.nscentroids | Nearest Shrunken Centroids |
| predict.opls | Partial Least Squares |
| predict.pls | Partial Least Squares |
| predscore | Score predictive performance |
| preplot-method | A Simple Grammar of Base Graphics |
| print-method | A Simple Grammar of Base Graphics |
| prod-method | Summary Statistics for "matter" Objects |
| profmem | Check Memory Use |
| range-method | Summary Statistics for "matter" Objects |
| raw2hex | Universally Unique Identifiers |
| rbind2-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| rbind2-method | Out-of-Memory Arrays |
| rbind2-method | Sparse Vectors and Matrices |
| readonly | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| readonly-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| readonly<- | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| readonly<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| reldiff | Binary Search with Approximate Matching |
| rescale | Signal Normalization |
| rescale_iqr | Signal Normalization |
| rescale_range | Signal Normalization |
| rescale_ref | Signal Normalization |
| rescale_rms | Signal Normalization |
| rescale_sum | Signal Normalization |
| residuals.opls | Partial Least Squares |
| ricker | CWT-based Peak Detection |
| RNGStreams | Parallel RNG Streams |
| rocscore | Compute area under ROC curve |
| rollvec | Rolling Summaries of a Vector |
| rowdist | Compute Distances between Rows or Columns of a Matrix |
| rowDistFun | FastMap Projection |
| rowDists | Compute Distances between Rows or Columns of a Matrix |
| rowDists-method | Compute Distances between Rows or Columns of a Matrix |
| rowdist_at | Compute Distances between Rows or Columns of a Matrix |
| rowMaj | Out-of-Memory Arrays |
| rowMaj-method | Out-of-Memory Arrays |
| rowMaj-method | Sparse Vectors and Matrices |
| rowMeans | Summary Statistics for "matter" Objects |
| rowMeans-method | Summary Statistics for "matter" Objects |
| rowscale | Scaling and Centering by Row or Column Based on Grouping |
| rowscale-method | Scaling and Centering by Row or Column Based on Grouping |
| rowStats | Row and Column Summary Statistics Based on Grouping |
| rowStats-method | Row and Column Summary Statistics Based on Grouping |
| rowSums | Summary Statistics for "matter" Objects |
| rowSums-method | Summary Statistics for "matter" Objects |
| rowsweep | Sweep out Matrix Summaries Based on Grouping |
| rowsweep-method | Sweep out Matrix Summaries Based on Grouping |
| sampler | Sparse Vectors and Matrices |
| sampler-method | Sparse Vectors and Matrices |
| sampler<- | Sparse Vectors and Matrices |
| sampler<--method | Sparse Vectors and Matrices |
| sd-method | Summary Statistics for "matter" Objects |
| setRNGStream | Parallel RNG Streams |
| set_channel | A Simple Grammar of Base Graphics |
| set_coord | A Simple Grammar of Base Graphics |
| set_engine | A Simple Grammar of Base Graphics |
| set_par | A Simple Grammar of Base Graphics |
| set_title | A Simple Grammar of Base Graphics |
| sgmix | Spatial Gaussian Mixture Model |
| sgmixn | Spatial Gaussian Mixture Model |
| simspec | Simulate Spectra |
| simspec1 | Simulate Spectra |
| sparse_arr | Sparse Vectors and Matrices |
| sparse_arr-class | Sparse Vectors and Matrices |
| sparse_mat | Sparse Vectors and Matrices |
| sparse_mat-class | Sparse Vectors and Matrices |
| sparse_vec | Sparse Vectors and Matrices |
| sparse_vec-class | Sparse Vectors and Matrices |
| stat_c | Streaming Summary Statistics |
| stream_stat | Streaming Summary Statistics |
| struct | C-Style Structs Stored in Virtual Memory |
| sum-method | Summary Statistics for "matter" Objects |
| Summary | Summary Statistics for "matter" Objects |
| s_all | Streaming Summary Statistics |
| s_any | Streaming Summary Statistics |
| s_colstats | Streaming Summary Statistics |
| s_max | Streaming Summary Statistics |
| s_mean | Streaming Summary Statistics |
| s_min | Streaming Summary Statistics |
| s_nnzero | Streaming Summary Statistics |
| s_prod | Streaming Summary Statistics |
| s_range | Streaming Summary Statistics |
| s_rowstats | Streaming Summary Statistics |
| s_sd | Streaming Summary Statistics |
| s_sum | Streaming Summary Statistics |
| s_var | Streaming Summary Statistics |
| t-method | Out-of-Memory Arrays |
| t-method | Sparse Vectors and Matrices |
| tcrossprod-method | Out-of-Memory Arrays |
| tcrossprod-method | Sparse Vectors and Matrices |
| tolerance-method | Sparse Vectors and Matrices |
| tolerance<- | Sparse Vectors and Matrices |
| tolerance<--method | Sparse Vectors and Matrices |
| to_raster | Rasterize a Scattered 2D or 3D Signal |
| to_raster3 | Rasterize a Scattered 2D or 3D Signal |
| trans2d | 2D Spatial Transformation |
| type | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| type-method | Delta Run Length Encoding |
| type-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| type<- | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| type<--method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| types | Data Types for "matter" Objects |
| uuid | Universally Unique Identifiers |
| var-method | Summary Statistics for "matter" Objects |
| vip | Partial Least Squares |
| vizi | A Simple Grammar of Base Graphics |
| vizi_bars | Plotting Graphical Marks |
| vizi_boxplot | Plotting Graphical Marks |
| vizi_engine | Set Graphical Parameters |
| vizi_image | Plotting Graphical Marks |
| vizi_intervals | Plotting Graphical Marks |
| vizi_lines | Plotting Graphical Marks |
| vizi_par | Set Graphical Parameters |
| vizi_peaks | Plotting Graphical Marks |
| vizi_pixels | Plotting Graphical Marks |
| vizi_points | Plotting Graphical Marks |
| vizi_rules | Plotting Graphical Marks |
| vizi_style | Set Graphical Parameters |
| vizi_text | Plotting Graphical Marks |
| vizi_voxels | Plotting Graphical Marks |
| warp1 | Warping to Align 1D Signals |
| warp1_cow | Warping to Align 1D Signals |
| warp1_dtw | Warping to Align 1D Signals |
| warp1_loc | Warping to Align 1D Signals |
| warp2 | Warping to Align 2D Signals |
| warp2_trans | Warping to Align 2D Signals |
| $-method | Out-of-Memory Lists of Vectors |
| $<--method | Out-of-Memory Lists of Vectors |
| %*%-method | Out-of-Memory Arrays |
| %*%-method | Sparse Vectors and Matrices |
| .colStats | Row and Column Summary Statistics Based on Grouping |
| .rowStats | Row and Column Summary Statistics Based on Grouping |
| [-method | Delta Run Length Encoding |
| [-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| [-method | Out-of-Memory Arrays |
| [-method | Out-of-Memory Factors |
| [-method | Out-of-Memory Lists of Vectors |
| [-method | Out-of-Memory Strings |
| [-method | Sparse Vectors and Matrices |
| [<--method | Out-of-Memory Arrays |
| [<--method | Out-of-Memory Factors |
| [<--method | Out-of-Memory Lists of Vectors |
| [<--method | Out-of-Memory Strings |
| [<--method | Sparse Vectors and Matrices |
| [[-method | Vectors, Matrices, and Arrays Stored in Virtual Memory |
| [[-method | Out-of-Memory Lists of Vectors |
| [[<--method | Out-of-Memory Lists of Vectors |