SSMD_matrix | R Documentation |
SSMD_matrix
conducts pairwise comparisons for all possible pairs
using strictly standardised mean difference (SSDM, Zhang 2007).
SSMD_matrix( data, project, scenario, params = c("PExtinct", "Nextant", "Het", "Nalleles"), yrs = "max", ST = FALSE, save2disk = TRUE, dir_out = "DataAnalysis/SSMD_matrix" )
data |
A data.frame generated by |
project |
The Vortex project name |
scenario |
The ST Vortex scenario name or the scenario that should be used as baseline if simulations were not conducted with the ST module |
params |
A character vector with the parameters to be compared, default: c('PExtinct', 'Nextant', 'Het', 'Nalleles') |
yrs |
The year(s) to be analysed, default: 'max' |
ST |
Whether files are from sensitivity analysis (TRUE), or not (FALSE, default) |
save2disk |
Whether to save the output to disk, default: TRUE |
dir_out |
The local path to store the output. Default: DataAnalysis/SSMD_matrix |
When yrs='max'
(default), VortexR automatically sets yrs
to
the last year of the simulation .
A list where each element is a matrix of SSMD (belowe the diagonal) and related p-values (above the diagonal) for each combination of 'yrs', population and 'params'
Zhang, X. D. 2007. A pair of new statistical parameters for quality control in RNA interference high-throughput screening assays. Genomics 89:552-561.
# Using Campbell et al. and Pacioni et al. example data. # See ?pacioni and ?campbell for more details on example data. require(vortexRdata) data("pac.clas") SSMD_matrix(data=pac.clas, project="Pacioni_et_al", scenario="ST_Classic", params = c("PExtinct", "Nextant", "Het", "Nalleles"), yrs = c(60, 120), ST = FALSE, save2disk = FALSE) data(sta.main) ssmd_mat <- SSMD_matrix(data=sta.main, project="test", scenario="test", params = c("PExtant", "Nextant"), yrs = c(25, 50), ST = FALSE, save2disk = FALSE)
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