June 2020

Sentiment Analysis of Tweets

June 9, 2020 | R on Harshvardhan

Two days back I got curious about the Twitter API. I worked with a few APIs (using R) in the past but had never chanced upon using Twitter data. Additionally, Twitter provided a rich source of “what people are talking about”. I searched and found a very easy to use ...
[Read more...]

the seven living generations in america

June 9, 2020 | Jason Timm

American generations Monthly US population estimates American population by generation American generations by age & race White America on the wane American generations in (apparent) time & space Summary American generations A quick look at the composition of American generations. Per Pew Research definitions & US Census data. In the process, a static ...
[Read more...]

Le Monde puzzle [#1147]

June 9, 2020 | xi'an

The weekly puzzle from Le Monde is not much, again: A number A is such that (1) the difference between two digits is never 1 (2) two digits are equal to 2 (3) it only involves 3 different digits (4) it is a multiple of 4 (5)  the sum of two of the digits is […]
[Read more...]

What is Chapter 8 of Practical Data Science with R?

June 9, 2020 | jmount

Chapter 8 “Advanced Data Preparation” of Practical Data Science with R is a study in: Using the R vtreat package for advanced data preparation. Cross-validated data preparation. It is the professionally edited, ready to cite version of an important data preparation methodology. An advantage being: a number of well documented […] [Read more...]

RcppArmadillo 0.9.900.1.0

June 9, 2020 | Thinking inside the box

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and... [Read more...]

Visualizing and interpreting Cohen’s d effect sizes

June 9, 2020 | Paul van der Laken

Cohen’s d (wiki) is a statistic used to indicate the standardised difference between two means. Resarchers often use it to compare the averages between groups, for instance to determine that there are higher outcomes values in a experimental group than in a control group. Researchers often use general guidelines ...
[Read more...]

Determine the size of a data frame

June 9, 2020 | Quantargo Blog

The size of a data frame, like the number of rows or columns, is often required and can be determined in various ways. Get number of rows of a data frame Get number of columns of a data frame Get dimensions of a data frame nrow(___) ncol(___) dim(__...
[Read more...]

Network analysis in Bollywood

June 8, 2020 | R on Asitav Sen

Network Analysis Network theory is the study of graphs as a representation of relationship between discrete elements. When applied to social relations, it is known as social network analysis.1 Bollywood In this article, network theo...
[Read more...]

The esci module for jamovi

June 8, 2020 | ["bob_calin_jageman"]

tl;dr Today there’s a new module available in jamovi: esci (effect sizes and confidence intervals), developed by Bob Calin-Jageman and Geoff Cumming (@TheNewStats and TheNewStatistics.com). As a newer module you will need a recent version of jamovi to install esci-–probably 1.2.19 or above. You can refresh your ...
[Read more...]

Network analysis in Bollywood

June 8, 2020 | R | Asitav Sen

Network Analysis Network theory is the study of graphs as a representation of relationship between discrete elements. When applied to social relations, it is known as social network analysis.1 Bollywood In this article, network theory is applied to analyse relationship between some professionals in bollywood, based on data from movie ...
[Read more...]

Ordinal data models

June 8, 2020 | Modeling with R

Introduction Data preparation ordered logistic regression (logit) Ordinal logistic rgeression (probit) CART model Ordinal Random forst model. Continuation Ratio Model Compare models Conclusion Session information Introduction This tutorial aims to explore the most popular models used to predict an ordered response variable. We will use the heart disease data uploaded ...
[Read more...]

Bayesian Varying Effects Models in R and Stan

June 8, 2020 | R on Will Hipson

In psychology, we increasingly encounter data that is nested. It is to the point now where any quantitative psychologist worth their salt must know how to analyze multilevel data. A common approach to multilevel modeling is the varying effects approach, where the relation between a predictor and an outcome variable ...
[Read more...]
1 7 8 9 10 11 12

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)