Tag: Git

Feed: R-bloggers. Author: Maëlle Salmon. At my day job I’m a data manager and statistician for an epidemiology project called CHAI lead by Cathryn Tonne. CHAI means “Cardio-vascular health effects of air pollution in Telangana, India” and you can find more about it in our recently published protocol paper . At my institute you could also find the PASTA and TAPAS projects so apparently epidemiologists are good at naming things, or obsessed with food… But back to CHAI! This week Sean Lopp from RStudio wrote an interesting blog post about internal packages. I liked reading it and feeling good because ... Read More

Feed: R-bloggers. Author: John Mount. seplyr is an R package that makes it easy to program over dplyr 0.7.*. To illustrate this we will work an example. Suppose you had worked out a dplyr pipeline that performed an analysis you were interested in. For an example we could take something similar to one of the examples from the dplyr 0.7.0 announcement. suppressPackageStartupMessages(library("dplyr")) packageVersion("dplyr") ## [1] '0.7.2' cat(colnames(starwars), sep='n') ## name ## height ## mass ## hair_color ## skin_color ## eye_color ## birth_year ## gender ## homeworld ## species ## films ## vehicles ## starships starwars %>% group_by(homeworld) %>% summarise(mean_height = ... Read More

Feed: R-bloggers. Author: Peter's stats stuff - R. I recently read the high quality book Global Inequality by Branko Milanovic. When reading this sort of thing, I often find I can increase my engagement with a topic by playing around with the data myself. In this day and age, this is much more likely to be possible than a couple of decades back! I remember when I first studied development economics, typing into Lotus 123 the data from tables in the back of a World Development Report. These days to get the same data we just fire up R and ... Read More

Feed: R-bloggers. Author: R Views. This is the third post in our series on portfolio volatility, variance and standard deviation. If you want to start at the beginning with calculating portfolio volatility, have a look at the first post here – Intro to Volatility. The second post on calculating rolling standard deviations is here: Intro to Rolling Volatility. Today we will visualize rolling standard deviations with highcharter using two objects from that second post. The charts, which are the fun payoff after all of the equations and functions that we have ground out in the previous posts, should highlight any ... Read More

Feed: R-bloggers. Author: nsaunders. “‘Demographic tsunami’ will keep Sydney, Melbourne property prices high” screams the headline. While the census showed Australia overall is aging, there’s been a noticeable lift in the number of people aged between 25 to 32.As the accompanying graph shows… Whoa, that is one ugly chart. First thought: let’s not be too hard on Fairfax Media, they’ve sacked most of their real journalists and they took the chart from someone else. Second thought: if you want to visualise change over time, time as an axis rather than a coloured bar is generally a good idea. Can we ... Read More

Feed: R-bloggers. Author: Bob Carpenter. It was another productive week in Stan land. The big news is that Jonathan Auerbach reports that A team of Columbia students (mostly Andrew’s, including myself) recently won first place in a competition predicting elementary school enrollment. I heard 192 entered, and there were 5 finalists….Of course, we used Stan (RStan specifically). … Thought it might be Stan news worthy. I’d say that’s newsworthy. Jon also provided a link to the “challenge” page, a New York City government sponsored “call for innovations”: Enhancing School Zoning Efforts by Predicting Population Change. They took home a US$20K ... Read More

Feed: R-bloggers. Author: David Smith. IEEE Spectrum has published its fourth annual ranking of of top programming languages, and the R language is again featured in the Top 10. This year R ranks at #6, down a spot from its 2016 ranking (and with an IEEE score — derived from search, social media, and job listing trends — tied with the #5 place-getter, C#). Python has taken the #1 slot from C, jumping from its #3 ranking in 2016. For R (a domain specific language for data science) to rank in the top 10, and for Python (a general-purpose language with many ... Read More

Feed: R-bloggers. Author: Euthymios Kasvikis. Introduction R Markdown is one of the most popular data science tools and is used to save and execute code to create exceptional reports whice are easily shareable. The documents that R Markdown provides are fully reproducible and support a wide variety of static and dynamic output formats. R Markdown uses markdown syntax, which provides an easy way of creating documents that can be converted to many other file types, while embeding R code in the report, so it is not necessary to keep the report and R script separately. Furthermore The report is written ... Read More

Feed: R-bloggers. Author: Fabio Veronesi. Power analysis is extremely important in statistics since it allows us to calculate how many chances we have of obtaining realistic results. Sometimes researchers tend to underestimate this aspect and they are just interested in obtaining significant p-values. The problem with this is that a significance level of 0.05 does not necessarily mean that what you are observing is real.In the book “Statistics Done Wrong” by Alex Reinhart (which you can read for free here: https://www.statisticsdonewrong.com/) this problem is discussed with an example where we can clearly see that a significance of 0.05 does not mean that ... Read More

Feed: R-bloggers. Author: Bluecology blog. International Congress for Conservation Biology: What analysis program do conservation scientists use? With the International Congress for Conservation Biology starting 23rd July I was wondering, what analysis programs are most commonly used by conservation scientists? And, what do they use for spatial analysis and mapping? To find out, if you are a conservation scientist please participate in these interactive polls: Favourite analysis programs Favourite programs for spatial analysis Please share this post with your friends and colleagues. I will follow up with a discussion once we get some results in, hopefully during ICCB2017 in Columbia ... Read More