Displaying 5 results from an estimated 5 matches for "meghna".
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meghana
2017 Nov 06
2
Survival model error
Thanks David. Could you show me how to do that in my example ?
Thanks,
Meghna
> On Nov 6, 2017, at 12:58 AM, David Winsemius <dwinsemius at comcast.net> wrote:
>
> You should stop trying to use matrices on the RHS and using separate vectors to Surv. Instead use a data argument and have the names in your formula refer to column names.
>
> ?
> Davi...
2017 Nov 06
2
Survival model error
...$TXN,
train1_na$REDEEMED_REWARDS
)
# Kaplan-Meier non-parametric analysis
kmsurvival_np <- survfit(Surv(time_np,event_np) ~ X_np)
Error in `[.default`(y, who, 1) : (subscript) logical subscript too long
Any ideas?
I have tried several things and still get this error.
Thanks,
Meghna
2017 Nov 06
0
Survival model error
You should stop trying to use matrices on the RHS and using separate vectors to Surv. Instead use a data argument and have the names in your formula refer to column names.
?
David
Sent from my iPhone
> On Nov 5, 2017, at 7:21 PM, Meghna Govil via R-help <r-help at r-project.org> wrote:
>
>
> Hi - Below is my code and then the error when I run the last line.
>
> time_np <- train1_na$tte
> event_np <- train1_na$censored
>
>
> X_np <- cbind(
> train1_na$AMT,
> train1_na$DISCOUN...
2017 Oct 16
1
survival analysis - predict function
Hi
I'm trying to predict the values for a survreg object called
loglogistic_na. Here is the definition of loglogistic_na and following that
the syntax used for the predict function. But upon execution I don't get
any output. Not sure what I'm doing wrong:
loglogistic_na <- survreg(Surv(time_na,event_na) ~ t_na, dist="loglogistic")
summary(loglogistic_na)
2017 Oct 16
0
survival analysis - predict function
> Hi
>
> I'm trying to predict the values for a survreg object called loglogistic_na. Here is the definition of loglogistic_na and following that the syntax used for the predict function. But upon execution I don't get any output. Not sure what I'm doing wrong:
>
> loglogistic_na <- survreg(Surv(time_na,event_na) ~ t_na, dist="loglogistic")
>