Description Usage Arguments Details Value Examples
Generates raw data from summary statistics using uni/multivariate log/truncated normal distribution
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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 |
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'.
a data frame of raw data
1 2 3 4 5 6 | # Data generation using univariate distribution
library(TestDimorph)
raw_gen(baboon.parms_df)
# Data generation using multivariate distribution
library(TestDimorph)
raw_gen(baboon.parms_list)
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