| testSC {dowser} | R Documentation | 
Performs SC (switch count) test on switch data
Description
testSC performs an SC test
Usage
testSC(
  switches,
  dropzeroes = TRUE,
  bylineage = FALSE,
  pseudocount = 0,
  from = NULL,
  to = NULL,
  permuteAll = FALSE,
  alternative = c("two.sided", "greater", "less")
)
Arguments
switches | 
 Data frame from findSwitches  | 
dropzeroes | 
 Drop switches with zero counts?  | 
bylineage | 
 Perform test for each lineage individually?  | 
pseudocount | 
 Pseudocount for P value calculations  | 
from | 
 Include only switches from this state?  | 
to | 
 Include only switches to this state?  | 
permuteAll | 
 Permute among trees?  | 
alternative | 
 Perform one-sided (  | 
Details
Output data table columns: RECON = SC for observed data PERMUTE = SC for permuted data DELTA = RECON - PERMUTE PLT = p value for DELTA < 0 PGT = p value for DELTA < 0
-   
FROM: State going from. -   
TO: State going to. -   
RECON: SC for observed data. -   
PERMUTE: SC for permuted data. -   
DELTA: RECON - PERMUTE. -   
PLT: p value that DELTA < 0 -   
PGT: p value that DELTA > 0 -   
STAT: Statistic used (SC). -   
REP: Bootstrap repetition. -   
REPS: Total number of ootstrap repetition. 
Value
A list containing a tibble with mean SC statistics, and another 
with SC statistics per repetition.
See Also
Uses output from findSwitches. Related to testPS and testSP.
Examples
## Not run: 
igphyml <- "~/apps/igphyml/src/igphyml"
data(ExampleAirr)
ExampleAirr$sample_id = sample(ExampleAirr$sample_id)
clones = formatClones(ExampleAirr, trait="sample_id")
btrees = findSwitches(clones[1:2], bootstraps=100, nproc=1,
   igphyml=igphyml, trait="sample_id", id="temp", dir="temp")
testSC(btrees$switches)
## End(Not run)