library(survival)
## Loading required package: splines
kmdab=read.csv("KMdataDabob.csv")
names(kmdab)
## [1] "Animal" "Population" "Death" "Status"
with(kmdab, tapply(Death[Status==1],Population[Status==1],mean))
## H N S
## 4.385 4.522 4.715
with(kmdab, tapply(Death[Status==1],Population[Status==1],var))
## H N S
## 0.4524 0.9786 1.6039
fit1=with(kmdab,survfit(Surv(Death,Status)~Population))
plot(fit1, col=c(1:3), xlab="Survival Time from Outplant in Months", ylab="% Surviving")
legend("bottomleft", title="Population", c("Dabob","Fidalgo","Oyster Bay"), fill=c(1:3))
![plot of chunk unnamed-chunk-1 plot of chunk 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)
kmman=read.csv("KMdataMan.csv")
names(kmman)
## [1] "Animal" "Population" "Death" "Status"
with(kmman, tapply(Death[Status==1],Population[Status==1],mean))
## H N S
## 10.540 9.368 9.197
with(kmman, tapply(Death[Status==1],Population[Status==1],var))
## H N S
## 1.519 6.468 6.321
fit2=with(kmman, survfit(Surv(Death,Status)~Population))
plot(fit2, col=c(1:3), xlab="Survival Time from Outplant in Months", ylab="% Surviving")
legend("bottomleft", title="Population", c("Dabob","Fidalgo","Oyster Bay"), fill=c(1:3))
![plot of chunk unnamed-chunk-1 plot of chunk 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)
kmfid=read.csv("KMdataFid.csv")
with(kmfid, tapply(Death[Status==1],Population[Status==1],mean))
## H N S
## 5.921 5.754 6.897
with(kmfid, tapply(Death[Status==1],Population[Status==1],var))
## H N S
## 2.554 2.189 3.989
fit3=with(kmfid, survfit(Surv(Death,Status)~Population))
plot(fit3, col=c(1:3), xlab="Survival Time from Outplant in Months", ylab="% Surviving")
legend("bottomleft", title="Population", c("Dabob","Fidalgo","Oyster Bay"), fill=c(1:3))
![plot of chunk unnamed-chunk-1 plot of chunk 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)
kmoys=read.csv("KMdataOys.csv")
with(kmoys, tapply(Death[Status==1],Population[Status==1],mean))
## H N S
## 7.550 8.069 8.396
with(kmoys, tapply(Death[Status==1],Population[Status==1],var))
## H N S
## 7.774 5.805 5.814
fit4=with(kmoys, survfit(Surv(Death,Status)~Population))
plot(fit4, col=c(1:3), xlab="Survival Time from Outplant in Months", ylab="% Surviving")
legend("bottomleft", title="Population", c("Dabob","Fidalgo","Oyster Bay"), fill=c(1:3))
![plot of chunk unnamed-chunk-1 plot of chunk 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)
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