Description Usage Arguments Details Value Examples

View source: R/fnb.detect_distribution.R

Determines which distribution to use for which columns in the matrix based on a set of rules.

1 2 3 4 | ```
fnb.detect_distribution(x, nrows = nrow(x))
## Default S3 method:
fnb.detect_distribution(x, nrows = nrow(x))
``` |

`x` |
a numeric matrix, or a dgcMatrix |

`nrows` |
number of rows to use to detect distributions |

A simple utility function to detect the distribution to use for each columns

A list of distribution names mapped to column names

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
rm(list = ls())
library(fastNaiveBayes)
cars <- mtcars
y <- as.factor(ifelse(cars$mpg > 25, "High", "Low"))
x <- cars[, 2:ncol(cars)]
# Uses default of all rows to determine distributions
dist <- fnb.detect_distribution(x)
print(dist)
# Uses top 10 rows of x to determine distributions. If top 10 rows
# are representative this is can be much faster.
dist <- fnb.detect_distribution(x, nrows = 10)
print(dist)
``` |

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