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R-Help I'm working in my first large database (53,098,492,383 records). When I select the db via something like Library(SparkR) mydata <- sql("SELECT * FROM <table name>") is "mydata" a SparkDataFrame, and do I work with SparkDataFrames like I would regular df (per say); because I can't image I would ever create a 53 billion record df. I'm

R-Help I am attempting to create a series of bivariate normal distributions. So using the mvtnorm library I have created the following code ... # Standard deviations and correlation sig_x <- 1 sig_y <- 1 rho_xy <- 0.0 # Covariance between X and Y sig_xy <- rho_xy * sig_x *sig_y # Covariance matrix Sigma_xy <- matrix(c(sig_x ^ 2, sig_xy, sig_xy, sig_y ^ 2), nrow = 2, ncol = 2)

ALCON I'm trying to figure out how to rename groups in a data frame after groups by selected variabels. I am using the dplyr library to group my data by 3 variables as follows # group by lat (StoreX)/long (StoreY) priceStore <- LapTopSales[,c(4,5,15,16)] priceStore <- priceStore[complete.cases(priceStore), ] # keep only non NA records priceStore_Grps <- priceStore %>%

...?????.?? Torrent 1 Pic 8 Words 7 Minute Workout 7 Nights at Pizza House com.zombodroid com.zone Disney Kingdom Flippy Knife fliptech Floor is lava Go_Launcher myyearbook From: Bert Gunter <bgunter.4567 at gmail.com> Sent: Saturday, May 5, 2018 2:14 AM To: reichmanj at sbcglobal.net Cc: R-help <r-help at r-project.org> Subject: Re: [R] Discovering patterns in textual strings I am still somewhat confused by your specifications, but others may not be. Part of my confusion stems from your failure to provide a reproducible example (see e.g. the posting guide linked...