dist: Distribution Generator
In corTools: Tools for processing data after a Genome Wide Association Study

Description Usage Arguments Details Value Author(s) References Examples

View source: R/corTools.R

Generates a distribution based on a user-inputted list of values, and returns values above or below user-inputted percentages of the distribution.

1	dist(dat, small, large)

`dat`	Either a list of numeric values, or a numeric column of a dataframe.
`small`	Smaller percentage, written as a decimal value.
`large`	Larger percentage, written as a decimal value.

If dat is entered as a columnname, function will preserve other columns of the dataframe and return those columns in the function output. Function uses quantiles to determine the cutoff values.

Returns list of values of the dataset that are greater than the larger user-inputted percentage, or smaller than the smaller user-inputted percentage.

Angela Fan

http://www.cytoscape.org/

Krouk G, Mirowski P, LeCun Y, Shasha DE, Coruzzi GM (2010) Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate. Genome Biol 11(12):R123.

Krouk G, Lingeman J, Colon AM, Coruzzi G, Shasha D. (2013) Gene regulatory networks in plants: learning causality from time and perturbation. Genome Biol 14(6):123.

# Create some sample data, as a dataframe with a numeric column
col1 <- c("L1", "L2", "L4", "E6", "G1")
col2 <- c(1.42, 14.34, 6.43, 32.1, 15.8)
dat <- as.data.frame(cbind(col1, col2))
dat$col2 <- as.numeric(as.character(dat$col2))

dist(dat$col2, 0.05, 0.95)
# dat$col2 denotes the column of the data that the distribution will be based on
# 0.05 and 0.95 indicate that the function will return values that are smaller
# than 5% of the values, or greater than 95% of the values
# function will return values 1.42 and 32.10