Trying to implement a simple regression using biglm package for quite some time. But is feeling frustrated with errors. Please suggest any way around for this error. > formula1 <- IsBadBuy ~ RefId > for (i in chunk(car, by=1000)) + { + if (i[1]==1) + { + message("first chunk is: ", i[[1]],":",i[[2]]) + biglmfit <- bigglm(formula1 , data = car[i,,drop=FALSE]) + } + else + { + message("next chunk is: ", i[[1]],":",i[[2]]) + biglmfit <- update(biglmfit, car[i,,drop=FALSE]) + } + } first chunk is: 1:1000 Error in coef.bigqr(object$qr) : NA/NaN/Inf in foreign function call (arg 5) In addition: Warning message: In Ops.factor(y, mu) : - not meaningful for factors > traceback() 11: .Fortran("regcf", as.integer(p), as.integer(p * p/2), bigQR$D, bigQR$rbar, bigQR$thetab, bigQR$tol, beta = numeric(p), nreq = as.integer(nvar), ier = integer(1), DUP = FALSE) 10: coef.bigqr(object$qr) 9: coef(object$qr) 8: coef.biglm(iwlm) 7: coef(iwlm) 6: bigglm.function(formula = formula, data = datafun, ...) 5: bigglm(formula = formula, data = datafun, ...) 4: bigglm(formula = formula, data = datafun, ...) 3: bigglm.data.frame(formula1, data = car[i, , drop = FALSE]) 2: bigglm(formula1, data = car[i, , drop = FALSE]) 1: bigglm(formula1, data = car[i, , drop = FALSE]) at #6
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