> On Nov 6, 2017, at 5:45 AM, Meghna Govil wrote:
>
> Thanks David. Could you show me how to do that in my example ?
Possibly:
kmsurvival_np <- survfit(Surv( tte, censored) ~ . , data=train1_na)
I say "possibly" because I don't know whether all the columns of `train1_na`
were included in th
Try putting your data.frame (train_na) as argument to the data=
parameter and then in the formula put the actual variable names but
without the train_na$ prefix.
On 06/11/2017 13:45, Meghna Govil via R-help wrote:
Thanks David. Could you show me how to do that in my example ?
Thanks,
Meghna
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 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
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
> wrote:
>
>
> Hi - Below is my co
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$AMT,
train1_na$DISCOUNT_AMT,
train1_na$high_price_pcnt,
train1_na$EM_RECEIVED,
train1_na$DM_RECEIVED,
train1_na$TXN_WITH_RINGCODE,
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