new_quantile_pois: A more "continuous" approximation of quantiles from the...
In scpoisson: Single Cell Poisson Probability Paradigm
new_quantile_pois R Documentation
A more "continuous" approximation of quantiles from the theoretical Poisson distribution.
Description
This function returns a data frame including the probability
from cumulative distribution function (CDF) and corresponding quantiles.
Usage
new_quantile_pois(data, lambda)
Arguments
data
A numeric vector of sampled data points to compare with theoretical Poisson.
lambda
A numeric value for theoretical Poisson distribution parameter (equal to mean).
Details
This is a function developed to get corresponding quantiles from theoretical Poisson distribution.
The data points ranges from 0 to maximum value of sampled data used to compare with the theoretical Poisson distribution.
Value
A data frame contains CDF probability and corresponding quantiles from the theoretical Poisson distribution.
scpoisson documentation built on Aug. 17, 2022, 9:05 a.m.
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| new_quantile_pois | R Documentation |
A more "continuous" approximation of quantiles from the theoretical Poisson distribution.
Description
This function returns a data frame including the probability from cumulative distribution function (CDF) and corresponding quantiles.
Usage
new_quantile_pois(data, lambda)
Arguments
data |
A numeric vector of sampled data points to compare with theoretical Poisson. |
lambda |
A numeric value for theoretical Poisson distribution parameter (equal to mean). |
Details
This is a function developed to get corresponding quantiles from theoretical Poisson distribution. The data points ranges from 0 to maximum value of sampled data used to compare with the theoretical Poisson distribution.
Value
A data frame contains CDF probability and corresponding quantiles from the theoretical Poisson distribution.
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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