MakeProfile.sn_nomemory {fst4pg} | R Documentation |
MakeProfile.sn_nomemory
Description
Perform segmentation on a given dataset and returns the segmented profile
Usage
MakeProfile.sn_nomemory(DF, Kmax, method = "biggest.S3IB", sd.y = NULL)
Arguments
DF |
a data.frame with two columns, Fst and Weights, as provided by the |
Kmax |
max number of changes used for model selection (check with crops) |
method |
a string, the name of the criterion used for model selection: (1) "givenVariance" = using the penalty of Lebarbier 2005 given a estimator of the variance, (2) "biggest.S3IB" = biggest=TRUE in saut taken from S3IB, (3) "notbiggest.S3IB" To be chosen amongs3ib.jump, s3ib.nojump, pre, ddse (capushe) or jump (capushe) |
sd.y |
a numeric value corresponding to the (estimated) standard deviation of the signal. If NULL (default) the value is automatically estimated. |
Value
a smoothed profile
[Package fst4pg version 1.0.0 Index]