TestDimorph (version 0.3.0)

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

Description

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

Usage

RawGen(
  x,
  Parms = 1,
  Pop = 2,
  R.res = NULL,
  dist = "trunc",
  lower = -Inf,
  upper = Inf,
  format = "wide",
  complete_cases = FALSE
)

Arguments

x

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

Parms

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 trunc for truncated, Default: 'trunc'

lower

vector of lower bounds, Default: -Inf

upper

vector of upper bounds, Default: Inf

format

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

complete_cases

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

Value

tibble 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/tibble as in baboon.parms_df with a separate correlational matrix as in R. If data frame/tibble 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 trunc.

References

HUSSEIN2019TestDimorph

Examples

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