library(dartR)
library(sequoia)
t1 <- gl.filter.callrate(t1,threshold = 1)
t1 <- gl.filter.monomorphs(t1)
LifeHistData_2 <- as.data.frame(t1$ind.names)
LifeHistData_2$Sex <- as.character(t1$other$ind.metrics$Sex)
LifeHistData_2[LifeHistData_2=="F"] <- 1
LifeHistData_2[LifeHistData_2=="M"] <- 2
LifeHistData_2[LifeHistData_2==""] <- 3
LifeHistData_2$Sex <- as.numeric(LifeHistData_2$Sex)
LifeHistData_2$BirthYear <- as.character(t1$other$ind.metrics$AgeClass)
LifeHistData_2[LifeHistData_2=="A"] <- 2000
LifeHistData_2[LifeHistData_2=="J"] <- 2005
LifeHistData_2$BirthYear <- as.numeric(LifeHistData_2$BirthYear)
colnames(LifeHistData_2)<- c("ID","Sex","BirthYear")
t_sequoia <- as.matrix(as.data.frame(t1))
t_sequoia[
is.na(t_sequoia)] <- "-9"
t_sequoia_2 <- cbind(t1$ind.names,t_sequoia)
t_sequoia_2 <- matrix(data=t_sequoia_2, ncol=ncol(t_sequoia)+1, nrow=nrow(t_sequoia))
t_sequoia_2 <- as.data.frame(t_sequoia_2)
GenoM <- GenoConvert(InFile=t_sequoia_2, InFormat="seq",Missing="-9",IDcol=1)
GenoM_2 <- GenoM
sequoia_res <- sequoia(GenoM = GenoM_2,Plot = F,UseAge = F,MaxSibshipSize=20)
sequoia_res_2 <- GetMaybeRel(GenoM = GenoM_2, LifeHistData =LifeHistData_2)
Cheers,
Luis