TestDimorph (version 0.4.0)

raw_gen: Raw Data Generation By Log-normal Or Truncated Distribution

Description

Generates raw data from summary statistics using uni/multivariate log/truncated normal distribution

Usage

raw_gen(
  x,
  Trait = 1,
  Pop = 2,
  R.res = NULL,
  dist = c("truncated", "log"),
  lower = -Inf,
  upper = Inf,
  format = c("wide", "long"),
  complete_cases = FALSE
)

Arguments

x

Data frame or list containing summary statistics for multiple parameters measured in both sexes in two or more populations.

Trait

Number of the column containing names of measured parameters, Default: 1

Pop

Number of the column containing populations' names, Default: 2

R.res

Pooled within correlational matrix, Default: NULL

dist

univariate distribution used for data generation either `log` for log normal or `truncated` for truncated distribution, Default: 'truncated'

lower

vector of lower bounds, Default: -Inf

upper

vector of upper bounds, Default: Inf

format

form of the resultant data frame either 'long' or 'wide', Default: 'wide'

complete_cases

Logical; if TRUE rows with missing values will be removed, Default: FALSE

Value

a data frame of raw data

Details

If data generation is desired using multivariate distribution data is entered in the form of a list of summary statistics and pooled within correlational matrix as in baboon.parms_list, or the summary statistics are entered separately in the form of a data frame as in baboon.parms_df with a separate correlational matrix as in baboon.parms_R. If data frame is entered without a correlational matrix, data generation is carried out using univariate distribution. N.B: Transformation of raw summary data to logged data is only possible for univariate distribution and if multivariate log normal distribution is desired logged values should be entered directly with `dist` set to `truncated`.

Examples

# NOT RUN {
# Data generation using univariate distribution
library(TestDimorph)
raw_gen(baboon.parms_df)
# Data generation using multivariate distribution
library(TestDimorph)
raw_gen(baboon.parms_list)
# }