3276 search results for "Map"

Quantitative Finance Applications in R – 3: Plotting xts Time Series

January 28, 2014
By
Quantitative Finance Applications in R – 3: Plotting xts Time Series

by Daniel Hanson, QA Data Scientist, Revolution Analytics Introduction and Data Setup Last time, we included a couple of examples of plotting a single xts time series using the plot(.) function (ie, said function included in the xts package). Today, we’ll look at some quick and easy methods for plotting overlays of multiple xts time series in a single...

Read more »

Expected overestimation of Cohen’s d under publication bias

January 27, 2014
By
Expected overestimation of Cohen’s d under publication bias

Earlier this week I read this article about “Why Publishing Everything Is More Effective than Selective Publishing of Statistically Significant Results” by Mercal et al (2014). The authors simulated different meta-analytic scenarios and came to the conclusion that publishing everything is more effective for the scientific collective. This got me thinking about...

Read more »

Expected overestimation of Cohen’s d under publication bias

January 27, 2014
By
Expected overestimation of Cohen’s d under publication bias

In this post I will use the theoretical and empirical sampling distribution of Cohen's d to show the expected overestimation due to selective publishing. I will look at the overestimation for various sample sizes when the population effect is 0, 0.2, 0.5 and 0.8. The conclusion is that you should be weary of effect sizes from small samples, and...

Read more »

Accurate imputation and valid statistical inference with ensemble

January 25, 2014
By
Accurate imputation and valid statistical inference with ensemble

Imputation is predictive inference and not causal inference! I have met many people, who consider the two are equivalent. Their reasoning is based on the belief that if you can produce a model which replicate the data generating...

Read more »

Importing bathymetry and coastline data in R

January 25, 2014
By
Importing bathymetry and coastline data in R

After noticing some frustrating inaccuracies with the high-resolution world coastlines and national boundaries database found in worldHires from the package mapdata (based on CIA World Data Bank II data), I decided to look into other options. Although listed as "depreciated", the data found in NOAAs online "Coastline Extractor" is a big step forward. There...

Read more »

GMT standard color palettes

January 25, 2014
By
GMT standard color palettes

GMT (Generic Mapping Tools) (http://gmt.soest.hawaii.edu/) is a great mapping tool. I'm hoping to use it more in the future, but for the meantime I wanted to recreate some of the it's standard color palettes in R. Unfortunately, I couldn't find documen...

Read more »

How to install rNOMADS on Linux

January 24, 2014
By
How to install rNOMADS on Linux

About 6 months ago, I wrote a package for the R programming language called rNOMADS.  It interfaces with the National Oceanic and Atmospheric Association’s Operational Archive and Distribution System (NOMADS), comprising everything from global weather forecast models, to high resolution regional models, to wave and sea ice models.  rNOMADS uses R to download requested data

Read more »

BLATting the internet: the most frequent gene?

January 23, 2014
By
BLATting the internet: the most frequent gene?

I enjoyed this story from the OpenHelix blog today, describing a Microsoft Research project to mine DNA sequences from web pages and map them to UCSC genome builds. Laura DeMare asks: what was the most-hit gene? Most hit gene? APOE? MT @GenomeBrowser We BLATed the Internet! DNA sequences from 40 billion webpages mapped to hg19

Read more »

Book review: "Doing Data Science" by Rachel Schutt and Cathy O’Neil

January 23, 2014
By

by Joseph Rickert Every once in a while a single book comes to crystallize a new discipline. If books still have this power in the era of electronic media, "Doing Data Science, Straight Talk from the Frontline" by Rachel Schutt and Cathy O’Neil: O'Reilly, 2013 might just be the book that defines data science. "Doing Data Science", which is...

Read more »

Quoting Tukey on Visual Storytelling with Data

January 23, 2014
By
Quoting Tukey on Visual Storytelling with Data

Time was when I used to be a reasonably competent scholar, digging into the literature chasing down what folk actually said, and chasing forward to see whether claims had been refuted. Then I fell out of love with the academic literature – too many papers that said nothing, too many papers that contained errors, too

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series











Contact us if you wish to help support R-bloggers, and place your banner here.

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)