qq_interpolation: Paired quantile after interpolation between two samples
In scpoisson: Single Cell Poisson Probability Paradigm
qq_interpolation R Documentation
Paired quantile after interpolation between two samples
Description
This function returns a data frame with paired quantiles in two samples after interpolation.
Usage
qq_interpolation(dfp, dfq, sample1, sample2)
Arguments
dfp
A data frame generated from function new_quantile() based on a specific distribution.
dfq
Another data frame generated from function new_quantile() based on a specific distribution.
sample1
A character to denote sample name of distribution used to generate dfp.
sample2
A character to denote sample name of distribution used to generate dfq.
Details
This is a function for quantile interpolation of two samples.
For each unique quantile value that has original data
point in one sample but no corresponding original data point in another sample,
apply a linear interpolation. So the common quantile values after interpolation
should have unique points the same as unique quantile points from either sample.
Value
A data frame contains corresponding probability from cumulative distribution function (CDF),
corresponding quantiles from the first sample (dfp),
and corresponding quantiles from the second sample (dfq).
scpoisson documentation built on Aug. 17, 2022, 9:05 a.m.
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| qq_interpolation | R Documentation |
Paired quantile after interpolation between two samples
Description
This function returns a data frame with paired quantiles in two samples after interpolation.
Usage
qq_interpolation(dfp, dfq, sample1, sample2)
Arguments
dfp |
A data frame generated from function new_quantile() based on a specific distribution. |
dfq |
Another data frame generated from function new_quantile() based on a specific distribution. |
sample1 |
A character to denote sample name of distribution used to generate |
sample2 |
A character to denote sample name of distribution used to generate |
Details
This is a function for quantile interpolation of two samples. For each unique quantile value that has original data point in one sample but no corresponding original data point in another sample, apply a linear interpolation. So the common quantile values after interpolation should have unique points the same as unique quantile points from either sample.
Value
A data frame contains corresponding probability from cumulative distribution function (CDF),
corresponding quantiles from the first sample (dfp),
and corresponding quantiles from the second sample (dfq).
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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