pass data to R from java using jri -

i trying integrate r code inside java code.primary objective able use predictions on models created in r. able set environment , basic r commands working fine. issue: trying push data java r function.

code snippet:

rexp data=re.eval("newdata <- with(cbpp, expand.grid(period=unique(period), herd=unique(herd)))"); rexp fit=re.eval("predict(gm1,newdata,type=\"response\")");   //want pass data created in java newdata system.out.println(fit.asdoublearray().length); 

in above code "newdata being populated r , used want able create own data in java , pass predict function in r. note: r code trying execute example lme4 package generalised linear mixed mmodel(glmm) model

it's been long time since used jri think can use assign(). here's simple example passing array of doubles:

re.assign("newdata", new double[] {1.5, 2.5, 3.5});