R Archives - Page 4 of 9 - Open Data Science - Your News Source for AI, Machine Learning & more

R Tip: Use let() to Re-Map Names

R Tools & Languagesposted by John Mount April 13, 2018

Another R tip. Need to replace a name in some R code or make R code re-usable? Use wrapr::let(). Here is an example involving dplyr. Let’s look at some example data: library("dplyr") library("wrapr") starwars %>% select(., name, homeworld, species) %>% head(.) # # A tibble: 6 x 3 # name homeworld species #... Read more

Using Excel for Data Entry

R Tools Tools & Languagesposted by Bob Muenchen April 11, 2018

This article shows you how to enter data so that you can easily open in statistics packages such as R, SAS, SPSS, or jamovi (code or GUI steps below). Excel has some statistical analysis capabilities, but they often provide incorrect answers. For a comprehensive list of these limitations, see http://www.forecastingprinciples.com/paperpdf/McCullough.pdfand http://www.burns-stat.com/documents/tutorials/spreadsheet-addiction. Simple Data... Read more

R Tip: Use let() to Re-Map Names

R Tools & Languagesposted by John Mount April 6, 2018

Another Rtip. Need to replace a name in some R code or make R code re-usable? Use wrapr::let(). Here is an example involving dplyr. Let’s look at some example data: library("dplyr") library("wrapr") starwars %>% select(., name, homeworld, species) %>% head(.) # # A tibble: 6 x 3 # name homeworld species #... Read more

R Tip: Break up Function Nesting for Legibility

R Tools & Languages Programming Language|Rposted by John Mount March 30, 2018

There are a number of easy ways to avoid illegible code nesting problems in R. In this R tip we will expand upon the above statement with a simple example. At some point it becomes illegible and undesirable to compose operations by nesting them, such as in the following code. head(mtcars[with(mtcars, cyl... Read more

R Tip: Use stringsAsFactors = FALSE

R Tools & Languagesposted by John Mount March 27, 2018

R tip: use stringsAsFactors = FALSE. R often uses a concept of factors to re-encode strings. This can be too early and too aggressive. Sometimes a string is just a string. It is often claimed Sigmund Freud said “Sometimes a cigar is just a cigar.” To avoid problems delay re-encoding of strings... Read more

R Tip: Use the vtreat Package For Data Preparation

R Tools & Languagesposted by John Mount March 21, 2018

If you are working with predictive modeling or machine learning in Rthis is the R tip that is going to save you the most time and deliver the biggest improvement in your results. R Tip: Use the vtreat package for data preparation in predictive analytics and machine learning projects. When attempting predictive modeling with real-world data you quicklyrun into difficulties beyond... Read more

jamovi for R: Easy but Controversial

R Tools & Languagesposted by Bob Muenchen March 20, 2018

jamovi is software that aims to simplify two aspects of using R. It offers a point-and-click graphical user interface (GUI). It also provides functions that combines the capabilities of many others, bringing a more SPSS- or SAS-like method of programming to R. The ideal researcher would be an expert at... Read more

EXPLORATORY ANALYSIS – WHEN TO CHOOSE R, PYTHON, TABLEAU OR A COMBINATION

Platforms Python R Tools & Languages Data Science|Data Visualization|Programming Language|Python|Rposted by Scott Stoltzman March 14, 2018

Not all data analysis tools are created equal. Recently, I started looking into data sets to compete in Go Code Colorado (check it out if you live in CO). The problem with such diversity in data sets is finding a way to quickly visualize the data and do exploratory analysis. While... Read more

R Tip: Introduce Indices to Avoid for() Class Loss Issues

R Tools & Languages Programming Language|R|statistics|Tutorialposted by John Mount March 12, 2018

Here is an R tip. Use loop indices to avoid for()-loops damaging classes. Below is an R annoyance that occurs again and again: vectors lose class attributes when you iterate over them in a for()-loop. d <- c(Sys.time(), Sys.time()) print(d) #> "2018-02-18 10:16:16 PST" "2018-02-18 10:16:16 PST" for(di in d) { print(di)... Read more

Is R base::subset() really that bad?

R Tools & Languages Programming Language|Rposted by John Mount March 7, 2018

Is R base::subset() really that bad? Notes discussing subset() often refer to the following text (from help(subset), referred to in examples: 1, 2): Warning This is a convenience function intended for use interactively. For programming it is better to use the standard sub-setting functions like [, and in particular the non-standard evaluation of argument subset can have unanticipated consequences. Is... Read more