| qqplot_env_pois {scpoisson} | R Documentation |
Q-Q plot comparing samples with a theoretical Poisson distribution
Description
This function returns a Q-Q plot with envelope using a more "continuous" approximation of quantiles.
Usage
qqplot_env_pois(sample_data, lambda, envelope_size = 100, ...)
Arguments
sample_data |
A numeric vector of sample data points or an S3 object for class 'scppp'. |
lambda |
A numeric value specifying the theoretical Poisson parameter. |
envelope_size |
A numeric value specifying the size of envelope on Q-Q plot (default 100). |
... |
not used. |
Details
This is a function for Q-Q envelope plot used to compare whether given sample data points come from the theoretical Poisson distribution. By simulating repeated samples of the same size from the candidate theoretical distribution, and overlaying the envelope on the same figure, it provides a feeling of understanding the natural variation from the theoretical distribution.
If an S3 object for class 'scppp' is used as input and the stored result under "data" is a matrix, The GLM-PCA algorithm will be applied to estimate the Poisson parameter for each matrix entry. Then a specific number of entries will be selected as sample data points to compare with the theoretical Poisson distribution.
Value
A ggplot object.
References
Townes FW, Street K (2020). glmpca: Dimension Reduction of Non-Normally Distributed Data. R package version 0.2.0, https://CRAN.R-project.org/package=glmpca.