| #include<iostream> | |
| #include<cmath> | |
| #include<stdlib.h> | |
| using namespace std; | |
| int main() { | |
| int n,i; | |
| int is_prime = true; | |
| cout << "Enter a number and press ENTER: "; |
I want to update a group of columns programmatically. This is simple using data.frame, but in data.table this requires a confusing combination of substitute, as.symbol, and eval.
Am I doing this right?
Simple example:
## GENERATE DATA
library(data.table)
set.seed(1)
dt <- data.table(
| // Gene Leynes 2014-09-23 | |
| // Example taken (borrowed) from http://leafletjs.com/ | |
| // I'm using this example to test http://bl.ocks.org/ | |
| // (this should now be index.html) | |
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| // create a map in the "map" div, set the view to a given place and zoom |
| // Gene Leynes 2014-09-23 SOME EDITS | |
| // Example taken (borrowed) from http://leafletjs.com/ | |
| // I'm using this example to test http://bl.ocks.org/ | |
| // (this should now be index.html) | |
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| <link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css" /> |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Leaflet Quick Start Guide Example</title> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <link rel="stylesheet" href="../dist/leaflet.css" /> |
| ## Using example from Arun's presentation: | |
| ## https://twitter.com/MattDowle/status/605881443491774464 | |
| ##------------------------------------------------------------------------------ | |
| ## INITIALIZE | |
| ## Load library, copy melt out of data.table, and create data example | |
| ##------------------------------------------------------------------------------ | |
| library(data.table) ## v1.9.4 | |
| melt <- data.table:::melt.data.table ## Something I usually do, just in case |
| rm(list=ls()) | |
| library(randomForest) | |
| ################################################################################ | |
| ## EXAMPLE 1 (ver_1) | |
| ## Two data frames are created (test and train) | |
| ## They have their own independent factor levels, and some of the levels in | |
| ## `test_ver1` do not appear in `train_ver1` | |
| ## |
| <!DOCTYPE html> | |
| <html xmlns="http://www.w3.org/1999/xhtml"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> | |
| <meta name="generator" content="pandoc" /> |
| ## | |
| ## gene leynes 2016-10-28 | |
| ## | |
| ## Label encoder based on | |
| ## http://stackoverflow.com/questions/38620424/label-encoder-functionality-in-r | |
| ## | |
| encoding_matrix <- function(df, plug_missing = TRUE, missing_string = "MISSING"){ | |
| df <- as.data.frame(df) | |
| cols <- which(sapply(df, is.character) | sapply(df, is.factor)) |
| grid_glmnet <- expand.grid(alpha = c(0, .2, .4, .6, .8, 1), | |
| # lambda = seq(.01, .2, length = 40)) | |
| #lambda = rev(exp(seq(log(.00001), log(200), length=10))) | |
| lambda = rev(exp(seq(log(.00001), log(20), length=20)))) | |
| results_glmnet <- list() | |
| # g <- unique(dat$grp)[1] | |
| # i <- 1 | |
| for(i in 1:nrow(grid_glmnet)){ | |
| print(i) |