The (matter of opinion) claim: “When the use of C++ is very limited and easy to avoid, perhaps it is the best option to do that […]” (source discussed here) got me thinking: does our own RcppDynProg package actually use C++ in a significant way? Could/should I port it to ...

We at STATWORX are opening our doors for anyone who wants to learn more about data. Our open workshop is designed for R-beginners and provides the perfect mixture between theory and practice. Participants achieve first insights into data science and programming with R. The workshop will be held in German ...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Si...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Si...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Silge’s blog. In ...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Silge’s blog. In ...

Recently, I wrote a post about creating control charts in R, and now I want to experiment with animating one of those charts. Lets start with the tidyverse, gganimate, and ggQC.

library(tidyverse)
library(gganimate)
library(ggQC)

Now, lets rebuild the last control chart from my previous post.

# Generate sample data
set.seed(20190117)
example_df <- data_frame(values = rnorm(n=30*5, mean = 25, sd = .005),
                         subgroup = rep(1:30, 5),
                         n = rep(1:5, each = 30)) %>%
  add_row(values = rnorm(n=2*5, mean = 25 + .006, sd = .005),
          subgroup = rep(31:32, 5),
          n = rep(1:5, each = 2)) 

violations <- example_df %>%
  QC_Violations(value = "values", grouping = "subgroup", method = "xBar.rBar") %>%
  filter(Violation == TRUE) %>%
  select(data, Index) %>%
  unique()

ggQC_example <- example_df %>%
  ggplot(aes(x = subgroup, y = values)) +
  stat_summary(fun.y = mean, geom = "line", aes(group = 1)) +
  stat_summary(fun.y = mean, geom = "point", aes(group = 1)) +
  stat_QC(method = "xBar.rBar", auto.label = TRUE, label.digits = 4) +
  scale_x_continuous(expand =  expand_scale(mult = c(.05, .15))) + # Pad the x-axis for the labels
  ylab("x-bar") +
  theme_bw() +
  geom_point(data = violations, aes(x = Index, y = data), color = "red", group = 1)
ggQC_example

You can see that I added ...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Silge’s blog. In ...

Motivation The first and second part of this analysis gave the idea that I did too much scrapping and processing and that deserves more analysis to use that information well. In this third and final part I’m also taking a lot of ideas from Julia Silge’s blog. In ...

“R is its packages”, so to know R we should know its popular packages (CRAN). Or put it another way: as R is a typical “the reference implementation is the specification” programming environment there is no true “de jure” R, only a de facto R. To look at popular R ...

Hadrien Dykiel is an RStudio Customer Success Engineer Microsoft PowerPoint is often the de facto choice for creating presentation slides, especially at larger companies. In many organizations, it comes pre-installed on workstations and pretty much everybody knows how to use it. This can make it an effective medium for sharing ...

(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail spectacularly if he’s missed something. Either way, he learnt a lot. Let’s take a chance!

Permutation tests, which I'll be discussing in this post, aren't that widely used by econometricians. However, they shouldn't be overlooked.Let's begin with some background discussion to set the scene. This might seem a bit redundant, but it will help us to see how permutation tests differ from the sort ...

The objective of this post is to go into the inner workings of the package MetaLandSim, which I developed a few years ago. MetaLandSim’s main objectives are to i) simulate the occupation of an habitat network suffering some sort of change (but static landscapes work too); ii) simulate range ...