# Posts Tagged ‘ tutorial ’

## R Tutorial Series: Graphic Analysis of Regression Assumptions

December 15, 2009
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An important aspect of regression involves assessing the tenability of the assumptions upon which its analyses are based. This tutorial will explore how R can help one scrutinize the regression assumptions of a model via its residuals plot, normality h...

## R Tutorial Series: Multiple Linear Regression

December 8, 2009
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In R, multiple linear regression is only a small step away from simple linear regression. In fact, the same lm() function can be used for this technique, but with the addition of a one or more predictors. This tutorial will explore how R can be used to...

## R Tutorial Series: Simple Linear Regression

November 26, 2009
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Simple linear regression uses a solitary independent variable to predict the outcome of a dependent variable. By understanding this, the most basic form of regression, numerous complex modeling techniques can be learned. This tutorial will explore how ...

## R examine objects tutorial

November 21, 2009
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This article is quick concrete example of how to use the techniques from Survive R to lower the steepness of The R Project for Statistical Computing‘s learning curve (so an apology to all readers who are not interested in R). What follows is for people who already use R and want to achieve more control Related posts:

## R Tutorial Series: Scatterplots

November 12, 2009
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A scatterplot is a useful way to visualize the relationship between two variables. Similar to correlations, scatterplots are often used to make initial diagnoses before any statistical analyses are conducted. This tutorial will explore the ways in whic...

## R Tutorial Series: Zero-Order Correlations

November 6, 2009
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One of the most common and basic techniques for analyzing the relationships between variables is zero-order correlation. This tutorial will explore the ways in which R can be used to employ this method.Tutorial FilesBefore we start, you may want to dow...

## R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 2)

October 15, 2009
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Welcome to part two of the Introduction to The R Project for Statistical Computing tutorial. If you missed part one, it can be found here. In this segment, we will explore the following topics.Importing DataVariablesWorkspace FilesConsole FilesFinding ...

## R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 1)

October 11, 2009
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R is a free, cross-platform, open-source statistical analysis language and program. It is also an alternative to expensive commercial statistics software such as SPSS. The environment for R differs from the typical point and click interface found in mo...

## Delete rows from R data frame

October 8, 2009
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Deleting rows from a data frame in R is easy by combining simple operations. Let’s say you are working with the built-in data set airquality and need to remove rows where the ozona is NA (also called null, blank or missing). The method is a conce...

## R String processing

July 2, 2009
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Here's a little vignette of data munging using the regular expression facilities of R (aka the R-project for statistical computing). Let's say I have a vector of strings that looks like this:> coords "chromosome+:157470-158370" "chromosome+:1583...