Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 29 found.
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Cul (Package: prospectr) : Cochran C critical value

Upper limit critical value Cul for one-sided test on balanced design
● Data Source: CranContrib
● Keywords: internal
● Alias: Cul
● 0 images

naes (Package: prospectr) : k-means sampling

Perform a k-means sampling on a matrix or data.frame for multivariate calibration
● Data Source: CranContrib
● Keywords:
● Alias: naes
● 0 images

convCppM (Package: prospectr) : Convolve

Convolution, written in C++
● Data Source: CranContrib
● Keywords: internal
● Alias: convCppM
● 0 images

spliceCorrection (Package: prospectr) : Splice correction of a spectral matrix acquired with an ASD spectrometer

Corrects steps in an input spectral matrix by linear interpolation of the values of the edges of the middle sensor
● Data Source: CranContrib
● Keywords:
● Alias: spliceCorrection
● 0 images

readASD (Package: prospectr) : Read ASD FieldSpec Pro binary and ASCII files

Read single or multiple binary and ASCII files acquired with an ASD FieldSpec Pro (ASDi, Boulder, CO) spectroradiometer
● Data Source: CranContrib
● Keywords:
● Alias: readASD
● 0 images

fastDist (Package: prospectr) : A fast distance algorithm for two matrices written in C++

A fast distance algorithm for two matrices written in C++
● Data Source: CranContrib
● Keywords: internal
● Alias: fastDist
● 0 images

blockNorm (Package: prospectr) : Sum of squares block weighting

Sum of squares block weighting: allows to scale blocks of variables, but keeping the relative weights of the variables inside a block.
● Data Source: CranContrib
● Keywords:
● Alias: blockNorm
● 0 images

duplex (Package: prospectr) : DUPLEX algorithm for calibration sampling

Select calibration samples from a large multivariate data using the DUPLEX algorithm
● Data Source: CranContrib
● Keywords:
● Alias: duplex
● 0 images

blockScale (Package: prospectr) : Hard or soft block scaling

Hard or soft block scaling of a spectral matrix to constant group variance. In multivariate calibration, block scaling is used to down-weight variables, when one block of variables dominates other blocks. With hard block scaling, the variables in a block are scaled so that the sum of their variances equals 1. Wen soft block scaling is used, the variables are scaled such that the sum of variable variances is equal to the square root of the number of variables in a particular block.
● Data Source: CranContrib
● Keywords:
● Alias: blockScale
● 0 images

e2m (Package: prospectr) : A function for transforming a matrix from its Euclidean space to its Mahalanobis space

A function for transforming a matrix from its Euclidean space to its Mahalanobis space
● Data Source: CranContrib
● Keywords: internal
● Alias: e2m
● 0 images