Monthly Archives: September 2009

Update

September 22, 2009
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Update

I can't believe it's been two months since I last posted... wow, time has a way of slipping through my fingers.  Here's a short list of some upcoming posts: An introduction to LSPM -- a new R package that implements Ralph Vince's leverage space po...

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SAS: “The query requires remerging summary statistics back with the original data”

September 22, 2009
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SAS: “The query requires remerging summary statistics back with the original data”

Coming from a background writing SQL code directly for “real” RDBMS (Microsoft SQL Server, MySQL, and SQLite), I was initially confused when SAS would give me the following ‘note’ for a simple summary PROC SQL query: 429 proc sql; 430 create table undel_monthly as 431 select 432 year(date) as year, 433 month(date) as month, 434

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R Function of the Day: table

September 21, 2009
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R Function of the Day: table

The R Function of the Day series will focus on describing in plain language how certain R functions work, focusing on simple examples that you can apply to gain insight into your own data. Today, I will discuss the table function. What situation is table useful in? The table function is a very basic, but

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R Function of the Day: table

September 21, 2009
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Edit: This post originally appeared on my Wordpress blog on September 21, 2009. I present it here in its original form.The R Function of the Day series will focus on describing in plain language how certain R functions work, focusing on si...

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Comparison of plots using Stata, R base, R lattice, and R ggplot2, Part I: Histograms

September 21, 2009
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One of the nicer things about many statistics packages is the extremely granular control you get over your graphical output.  But I lack the patience to set dozens of command line flags in R, and I'd rather not power the computer by pumping the mouse trying to set all the clicky-box options in Stata's graphics editor.  I want something...

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Linking text, results, and analyses: Increasing transparency and efficiency

September 20, 2009
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Linking text, results, and analyses: Increasing transparency and efficiency

I have recently been thinking about the relationship between text in a final report and data analysis. The broader concern is with making the conduct and reporting of statistical analyses more transparent. I am inspired by the ideas of literate program...

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R Function of the Day: tapply

September 20, 2009
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Edit: This post originally appeared on my Wordpress blog on September 20, 2009. I present it here in its original form.The R Function of the Day series will focus on describing in plain language how certain R functions work, focusing on sim...

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Welcome to Sigmafield

September 20, 2009
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Edit: This post originally appeared on my Wordpress blog on September 20, 2009. I present it here in its original form.John Tukey's preface to Exploratory Data Analysis begins with a useful rule, "It is important to understand what you can...

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Structural Equation Modelling in R

September 20, 2009
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Structural Equation Modelling in R

Structural Equation Modelling (SEM) Software is frequently used in psychology. This post discusses the exciting prospect of greater support for SEM in R. ...I have used SEM to:Run confirmatory factor analyses to examine the measurement structure of mul...

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R Function of the Day: tapply

September 20, 2009
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R Function of the Day: tapply

The R Function of the Day series will focus on describing in plain language how certain R functions work, focusing on simple examples that you can apply to gain insight into your own data. Today, I will discuss the tapply function. What situation is tapply useful in? In statistics, one of the most basic activities

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