333 search results for "boxplot"

Labeled outliers in R boxplot

Labeled outliers in R boxplot

Boxplots are a good way to get some insight in your data, and while R provides a fine ‘boxplot’ function, it doesn’t label the outliers in the graph. However, with a little code you can add labels yourself:The numbers plotted next to ...

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Visualization of probabilistic forecasts

November 21, 2014
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Visualization of probabilistic forecasts

This week my research group discussed Adrian Raftery’s recent paper on “Use and Communication of Probabilistic Forecasts” which provides a fascinating but brief survey of some of his work on modelling and communicating uncertain futures. Coincidentally, today I was also sent a copy of David Spiegelhalter’s paper on “Visualizing Uncertainty About the Future”. Both are

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Bioinformatics journals: time from submission to acceptance, revisited

October 13, 2014
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Bioinformatics journals: time from submission to acceptance, revisited

Before we start: yes, we’ve been here before. There was the Biostars question “Calculating Time From Submission To Publication / Degree Of Burden In Submitting A Paper.” That gave rise to Pierre’s excellent blog post and code + data on Figshare. So why are we here again? 1. It’s been a couple of years. 2.

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ggvis 0.4

October 13, 2014
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ggvis 0.4

ggvis 0.4 is now available on CRAN. You can install it with: install.packages("ggvis") The major features of this release are: Boxplots, with layer_boxplots() chickwts %>% ggvis(~feed, ~weight) %>% layer_boxplots() Better stability when errors occur. Better handling of empty data and malformed data. More consistent handling of data in compute pipeline functions. Because of these changes,

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Multiple Tests, an Introduction

September 24, 2014
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Multiple Tests, an Introduction

Last week, a student asked me about multiple tests. More precisely, she ran an experience over – say – 20 weeks, with the same cohort of – say – 100 patients. An we observe some size=100 nb=20 set.seed(1) X=matrix(rnorm(size*nb),size,nb) (here, I just generate some fake data). I can visualize some trajectories, over the 20 weeks, library(RColorBrewer) cl1=brewer.pal(12,"Set3") cl2=brewer.pal(8,"Set2") cl=c(cl1,cl2)...

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“Do You Want to Steal a Snowman?” – A Look (with R) At TorrentFreak’s Top 10 PiRated Movies List #TLAPD

September 18, 2014
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“Do You Want to Steal a Snowman?” – A Look (with R) At TorrentFreak’s Top 10 PiRated Movies List #TLAPD

We leave the Jolly Roger behind this year and turn our piRate spyglass towards the digital seas and take a look at piRated movies as seen through the lens of TorrentFreak. The seasoned seadogs who pilot that ship have been doing a weekly “Top 10 Pirated Movies of the Week” post since early 2013, and...

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Comparing machine learning models in R

September 18, 2014
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Comparing machine learning models in R

by Joseph Rickert While preparing for the DataWeek R Bootcamp that I conducted this week I came across the following gem. This code, based directly on a Max Kuhn presentation of a couple years back, compares the efficacy of two machine learning models on a training data set. #----------------------------------------- # SET UP THE PARAMETER SPACE SEARCH GRID ctrl <-...

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R version of “An exploratory technique for visualizing the distributions of 100 variables:”

September 10, 2014
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R version of “An exploratory technique for visualizing the distributions of 100 variables:”

Rick Wicklin (@RickWicklin) made a recent post to the SAS blog on An exploratory technique for visualizing the distributions of 100 variables. It’s a very succinct tutorial on both the power of boxplots and how to make them in SAS (of course). I’m not one to let R be “out-boxed”, so I threw together a

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Bay Area Real Estate (cont.)

Bay Area Real Estate (cont.)

Previously, I posted a short post about recent detached single house prices in San Leandro and Hayward areas.  I received a little more data (sales data from the past month), so I thought it would be a good time for … Continue reading →

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Long Memory and the Nile: Herodotus, Hurst and H

September 4, 2014
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Long Memory and the Nile: Herodotus, Hurst and H

by Joseph Rickert The ancient Egyptians were a people with long memories. The lists of their pharaohs went back thousands of years, and we still have the names and tax assessments for certain persons and institutions from the time of Ramesses II. When Herodotus began writing about Egypt and the Nile (~ 450 BC), the Egyptians who knew that...

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