March 2019

Using spaCy v2.1 with spacyr

March 27, 2019 | R on Quanteda Initiative Blog

A major update of spaCy (v2.1) was released recently. spaCy is one of the best and fastest tools for tokenization, part-of-speech tagging, dependency parsing, and entity recognition. In this post, I will discuss how it works with our spacyr package along with some tips on having multiple versions of spaCy ... [Read more...]

The end of errors in ANOVA reporting

March 27, 2019 | R on easystats

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the ... [Read more...]

The end of errors in ANOVA reporting

March 27, 2019 | R on easystats

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the ... [Read more...]

The end of errors in ANOVA reporting

March 27, 2019 | R on easystats

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the ... [Read more...]

The end of errors in ANOVA reporting

March 27, 2019 | R on easystats

Psychological science is still massively using analysis of variance (ANOVA). Despite its relative simplicity, I am very often confronted to errors in its reporting, for instance in student’s theses or manuscripts, or even published papers (See the excellent statcheck to quickly check the stats of a paper). Beyond the ... [Read more...]

Formatted correlation output with effect sizes

March 27, 2019 | R on easystats

One of the most time-consuming part of data analysis in science is the copy-pasting of specific values of some R output to a manuscript or a report. This task is frustrating, prone to errors, and increases the variability of statistical reporting. At the sime time, standardizing practices of what and ... [Read more...]

(x=scan())%in%(2*4^(n=0:x)-2^n-1)

March 27, 2019 | xi'an

One challenge on code golf is to find the shortest possible code to identify whether or not an integer belongs to the binary cyclops numbers which binary expansion is 0, 101, 11011, 1110111, 111101111, &tc. The n-th such number being this leads to the above solution in R (26 bits). The same length as the […]
[Read more...]

Open and merge multiple shapefiles

March 27, 2019 | Michael

or more precisely union many spatial tables in R in a tidy way. dplyr::bind_rows doesn’t work on sf objects ; base::rbind only work on two tables and so that’s not straightforward to use*. So we’ll use purrr::map and tidyr::unnest. First get some data, ... [Read more...]

R code golf: the identity matrix

March 27, 2019 | David Selby

How many different ways are there to create an identity matrix in R? This was an interesting little challenge set by Guillaume Nicoulaud on Twitter. Find as many way you can to create the identity matrix with #rstats. pic.twitter.com/HlhIM6mSrx— Guillaume Nicoulaud (@ordrespontane) February 3, 2018 In code golf, ... [Read more...]

R code golf: the identity matrix

March 27, 2019 | David Selby

How many different ways are there to create an identity matrix in R? This was an interesting little challenge set by Guillaume Nicoulaud on Twitter. Find as many way you can to create the identity matrix with #rstats. pic.twitter.com/HlhIM6mSrx— Guillaume Nicoulaud (@ordrespontane) February 3, 2018 In code golf, ... [Read more...]

Quickly create Codeplans of your (labelled) Data #rstats

March 27, 2019 | Daniel

The view_df() function from the sjPlot-package creates nice „codeplans“ from your data sets, and also supports labelled data and tagged NA-values. This gives you a comprehensive, yet clear overview of your data set. To demonstrate this function, we use a (labelled) data set from the European Social Survey. view_...
[Read more...]

A bit more understanding of Cronbach’s alpha

March 27, 2019 | mrajter

Cronbach’s alpha reliability coefficient is one of the most widely used indicators of the scale reliability. It is used often without concern for the data (this will be a different text) because it is simple to calculate and it requires only one implementation of a single scale. The aim ...
[Read more...]

Drrrawing with purrr

March 27, 2019 | @aschinchon

La luna es un pozo chicolas flores no valen nadalo que valen son tus brazoscuando de noche me abrazan(Zorongo Gitano, Carmen Linares) When I publish a post showing my drawings, I use to place some outputs, give some highlights about the techniques involved as well as a link to ...
[Read more...]

Using R in the pharmaceutical industry

March 27, 2019 | paoloeusebi

Although SAS is the main player in the pharmaceutical industry, R is gaining popularity. In this post I will just mention some initiatives, documents and podcast episodes dealing with using R in pharmaceutical research and development programs. Recently, it was a pleasure to listen the episode of the Effective Statistician ... [Read more...]

Deployment of Binning Outcomes in Production

March 26, 2019 | statcompute

In my previous post (https://statcompute.wordpress.com/2019/03/10/a-summary-of-my-home-brew-binning-algorithms-for-scorecard-development), I’ve shown different monotonic binning algorithm that I developed over time. However, these binning functions are all useless without a deployment vehicle in production. During the weekend, I finally had time to draft a R function (https://github.com/statcompute/... [Read more...]

Dataset – The Giant Marmots of Moscow

March 26, 2019 | Dr. Jack Davis

Stat 403/640/890 Analysis Assignment 3: Polluted Giant Marmots Due Wednesday, April 3rd Drop off in the dropbox by the stats workshop, or hand in in class. For this assignment, use the Marmots_Real.csv dataset. Main goal: The giant marmots of Moscow have a pollution problem. Find a model to predict the ... [Read more...]

Changes in BCEA

March 26, 2019 | R | Gianluca Baio

I’ve just updated the GitHub’s version of BCEA. Andrea has done, as usual, some very nice work – this time he’s mainly focussed on the graphical engine underlying the graphs produced by BCEA to post-process the outcome of the economic model. The main changes are the following: Added ... [Read more...]

Changes in BCEA

March 26, 2019 | R on Gianluca Baio

I’ve just updated the GitHub’s version of BCEA. Andrea has done, as usual, some very nice work – this time he’s mainly focussed on the graphical engine underlying the graphs produced by BCEA to post-process the outcome of the economic model. The main changes are the following: Added ... [Read more...]

jamovi: multi-file import and templates

March 26, 2019 | ["jonathon_love"]

tl;dr In many areas, multiple data sets need to be combined before data can be analysed. An example of this is experimental data in the field of psychology, where a data file is produced for each participant. This blog post (actually a video), introduces multi-file import available in the 0.9.6 ... [Read more...]
1 2 3 4 5 16

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)