get_dist_df: Convert dissimilarity data into input format for BUDS
In nlhuong/buds: Bayesian Unidimensional Scaling (BUDS)
Description
Usage
Arguments
Details
Value
Description
Function returns distances in a long data.frame format,
which is an input to fit_buds function, and for obtaining
estimates for distances variances.
Usage
1
get_dist_df(D, K)
Arguments
D
A square matrix of pairwise dissimilarities
K
An integer indicating k-nearest neighbours for
computing average distance to kNN.
Details
For each distance d_{ij} = d(x_i, x_j) the function computes
the mean and variance defined as the empirical mean and variance
of distances in a set \{d(x_i, x_k): x_k \in kNN of x_j\}
\cup \{d(x_j, x_l): x_l \in kNN of x_i \}.
Value
A data frame to be used as input data for BUDS.
nlhuong/buds documentation built on May 17, 2019, 3:13 a.m.
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Description Usage Arguments Details Value
Description
Function returns distances in a long data.frame format, which is an input to fit_buds function, and for obtaining estimates for distances variances.
Usage
1 | get_dist_df(D, K)
|
Arguments
D |
A square matrix of pairwise dissimilarities |
K |
An integer indicating k-nearest neighbours for computing average distance to kNN. |
Details
For each distance d_{ij} = d(x_i, x_j) the function computes the mean and variance defined as the empirical mean and variance of distances in a set \{d(x_i, x_k): x_k \in kNN of x_j\} \cup \{d(x_j, x_l): x_l \in kNN of x_i \}.
Value
A data frame to be used as input data for BUDS.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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