rand_indiv_points: Randomisation of individual data points
In disprofas: Non-Parametric Dissolution Profile Analysis
Description
Usage
Arguments
Details
Value
See Also
Description
The function rand_indiv_points() samples individual data points of
each profile.
Usage
1
Arguments
data
A data frame with the dissolution profile data in wide format.
mle
A list of further arguments required for the generation of a
randomised data frame. The first element of mle is a numeric value
of the number of profiles per batch and the second element is a vector of
indices of the columns containing the profile data.
Details
The function rand_indiv_points() samples individual data
points of each profile. The first element of mle specifies the
number of indices per group (of two groups), i.e. the number of profiles
to take into account from each group. The second element of mle
specifies the columns in the data frame that represent the dissolution
profiles, i.e. the columns with the % release data. The data points of
each group and column are randomised.
Value
A data frame representing a randomised version of the data frame
that has been handed over via the data parameter.
See Also
disprofas documentation built on Dec. 8, 2021, 5:10 p.m.
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Description Usage Arguments Details Value See Also
Description
The function rand_indiv_points() samples individual data points of
each profile.
Usage
1 |
Arguments
data |
A data frame with the dissolution profile data in wide format. |
mle |
A list of further arguments required for the generation of a
randomised data frame. The first element of |
Details
The function rand_indiv_points() samples individual data
points of each profile. The first element of mle specifies the
number of indices per group (of two groups), i.e. the number of profiles
to take into account from each group. The second element of mle
specifies the columns in the data frame that represent the dissolution
profiles, i.e. the columns with the % release data. The data points of
each group and column are randomised.
Value
A data frame representing a randomised version of the data frame
that has been handed over via the data parameter.
See Also
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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