In the previous post https://statcompute.wordpress.com/2017/09/17/model-non-negative-numeric-outcomes-with-zeros/, I gave a brief introduction about the ZAGA (Zero-Adjusted Gamma) model that provides us a very flexible approach to model non-negative numeric responses. Today, I...continue reading.
The finafit package brings together the day-to-day functions we use to generate final results tables and plots when modelling. I spent many years repeatedly manually copying results from R analyses...continue reading.
Hi all, In this post, I’ll go through numerical experiments illustrating the scaling of some MCMC algorithms with respect to the dimension. I will focus on a simple setting, to...continue reading.
This (co-)guest post by Carsten F. Dormann & Florian Hartig summarizes a comprehensive review on model averaging for predictive inference, just published in Ecological Monographs.continue reading.
Like many useRs, I am also a big fan of the sqldf package developed by Grothendieck, which uses SQL statement for data frame manipulations with SQLite embedded database as the...continue reading.
This is a repost of the original article that was posted as an embedded PDF file. Douglas M. Wiig April 8, 2018 Abstract This article is part of my...continue reading.
In SAS, you can perform PROC TTEST for multiple numeric variables in the same procedure. Here is an example using the built-in data set SASHELP.BASEBALL; I will compare the number...continue reading.
In this post I will show some of the new simulation features that will be available in powerlmm 0.4.0. You can already install the dev version from GitHub. # GitHub...continue reading.
In my previous post (https://statcompute.wordpress.com/2018/02/25/mle-in-r/), it is shown how to estimate the MLE based on the log likelihood function with the general-purpose optimization algorithm, e.g. optim(), and that the optimizer...continue reading.
I will speak on the career-advice panel at the 2018 Canadian Statistics Student Conference. It will be held on Saturday, June 2, at McGill University. If you will attend this...continue reading.
Over at dynamic ecology, Jeremy Fox argues that Technical statistical mistakes are overrated; ecologists (especially students) worry too much about them. Individually and collectively, technical statistical mistakes hardly ever appreciably...continue reading.
Previous posts in this series on MCMC samplers for Bayesian inference (in order of publication): Bayesian Simple Linear Regression with Gibbs Sampling in R Blocked Gibbs Sampling in R for...continue reading.
Given R data frames stored in the memory, sometimes it is beneficial to sample and examine the data in a large-size csv file before importing into the data frame. To...continue reading.
In a recent blog post, I introduced an easy and efficient way to create indicator variables from categorical variables in SAS. This method pretends to run logistic regression, but it...continue reading.
Introduction In statistics and biostatistics, the creation of binary indicators is a very useful practice. They can be useful predictor variables in statistical models. They can reduce the amount of...continue reading.
(require ‘[huri.core :as h] ‘[clojure.core.matrix.dataset :as d] ‘[incanter.core :as i]) (def ds [{:id 1.0 :name “name1”} {:id 2.0 :name “name2”} {:id 3.0 :name “name3”}]) ;; UPDATE THE :NAME COLUMN IN...continue reading.
(require ‘[huri.core :as h] ‘[clojure.core.matrix.dataset :as d] ‘[incanter.core :as i]) (def ds [{:id 1.0 :name “name1”} {:id 2.0 :name “name2”} {:id 3.0 :name “name3”}]) ;; ADD 2 COLUMNS TO THE...continue reading.
Salekhard (66.53 °N, 66.67 °E) is located in Yamalia at the Northern end of the Ural mountain range. 95% of the daily average temperatures observed at Salekhard weather station since 1882 fall within…continue reading.
Introduction Web-based surveys offer a quick and effective way to collect data. Several companies sell software-as-a-service which makes the construction of surveys quite easy using only a web browser. At...continue reading.
My R package powerlmm 0.3.0 is now out on CRAN. It can be installed from CRAN https://cran.r-project.org/package=powerlmm or GitHub https://github.com/rpsychologist/powerlmm. New features This version adds support for raw effect sizes,...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
