Github user yanboliang commented on the pull request:
https://github.com/apache/spark/pull/11447#issuecomment-192209916
@hhbyyh Thanks for your review.
I have also encountered this issue, because our ```survreg``` was masked by
```survreg``` in survival package under this condition. There are two solutions
can make it work well:
```
library(survival)
data(ovarian)
df <- createDataFrame(sqlContext, ovarian)
library(SparkR)
model <- survreg(Surv(futime, fustat) ~ ecog_ps + rx, df)
```
or
```
library(survival)
data(ovarian)
df <- createDataFrame(sqlContext, ovarian)
model <- SparkR::survreg(Surv(futime, fustat) ~ ecog_ps + rx, df)
```
We will recommend the former one.
You will not load library survival if you use you own dataset, so it will
not be masked in general case. But I think we should clarify this in API doc.
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