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 |