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Sunday, July 12, 2015. Let's try regression on the auto dataset. Regfit.full - regsubsets(price ., auto). It doesn't work because by default, exhaustive search is performed. This requires lots of permutations, so you have to set really.big=TRUE if you want this. But let's just make things simpler by carving out a subset of variables:. Autosmall - auto[,c(2,3,5,6,7,8,9,10,11)]. Regfit.full - regsubsets(price . , autosmall). The indicates we want all variables to be considered. For model selection, it'll b...

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R by examples | rbyexamples.blogspot.com Reviews
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Sunday, July 12, 2015. Let's try regression on the auto dataset. Regfit.full - regsubsets(price ., auto). It doesn't work because by default, exhaustive search is performed. This requires lots of permutations, so you have to set really.big=TRUE if you want this. But let's just make things simpler by carving out a subset of variables:. Autosmall - auto[,c(2,3,5,6,7,8,9,10,11)]. Regfit.full - regsubsets(price . , autosmall). The indicates we want all variables to be considered. For model selection, it'll b...
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1 r by examples
2 step by step r
3 linear regression
4 summary regfit full
5 forward stepwise selection
6 backward stepwise selection
7 coef regfit fwd 3
8 setseed 1
9 test
10 train
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R by examples | rbyexamples.blogspot.com Reviews

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Sunday, July 12, 2015. Let's try regression on the auto dataset. Regfit.full - regsubsets(price ., auto). It doesn't work because by default, exhaustive search is performed. This requires lots of permutations, so you have to set really.big=TRUE if you want this. But let's just make things simpler by carving out a subset of variables:. Autosmall - auto[,c(2,3,5,6,7,8,9,10,11)]. Regfit.full - regsubsets(price . , autosmall). The indicates we want all variables to be considered. For model selection, it'll b...

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R by examples: Linear regression

http://www.rbyexamples.blogspot.com/2015/07/linear-regression.html

Sunday, July 12, 2015. Let's try regression on the auto dataset. Regfit.full - regsubsets(price ., auto). It doesn't work because by default, exhaustive search is performed. This requires lots of permutations, so you have to set really.big=TRUE if you want this. But let's just make things simpler by carving out a subset of variables:. Autosmall - auto[,c(2,3,5,6,7,8,9,10,11)]. Regfit.full - regsubsets(price . , autosmall). The indicates we want all variables to be considered. For model selection, it'll b...

2

R by examples: Linear Regression in R

http://www.rbyexamples.blogspot.com/2015/07/linear-regression-in-r.html

Sunday, July 5, 2015. Linear Regression in R. Let's load the auto dataset. And learn regression techniques in more detail. (For those who have not read previous posts, this is a dataset containing information about 74 cars.). Suppose we want to find the relationship between the price and weight of a car. One way to do this is. Priceweight - lm(auto$price auto$weight). Priceweight - lm(price weight, data=auto). Will work as well. We can then visualize the data by. Abline(priceweight, lwd = 5). It might be...

3

R by examples: R for Stata users (Part 3)

http://www.rbyexamples.blogspot.com/2015/07/r-for-stata-users-part-3.html

Thursday, July 2, 2015. R for Stata users (Part 3). We learned how to use R to load datasets, perform simple manipulations, and conduct linear regression. Here, we will learn how to save work, draw scatterplots, handle dates and times, extract substrings, and encode variables. Make sure that you've opened RStudio and loaded the auto dataset. Task #11: Save work. The following command will write a CSV file to RStudio's current working directory:. Writecsv(auto, "edited auto.csv"). And we can then write ou...

4

R by examples: Plotting maps with choroplethr

http://www.rbyexamples.blogspot.com/2015/07/plotting-maps-with-choroplethr.html

Saturday, July 4, 2015. Plotting maps with choroplethr. According to the below graphic from the Sacramento Bee, Latinos have overtaken whites to become the most populous ethnic group. Let's use the choroplethr package to examine the racial distribution of California counties. Let's start with the preliminaries: installing and loading the package, as well as loading the relevant datasets. We'd also need to load the ggplot2 library, which will come useful in plotting the maps. Consists of three layers:.

5

R by examples: Overview of Machine Learning Techniques in R

http://www.rbyexamples.blogspot.com/2015/07/overview-of-machine-learning-techniques.html

Sunday, July 12, 2015. Overview of Machine Learning Techniques in R. Whenever we do something as simple as a Google search, we benefit from machine learning. Demand is high for those with machine learning skills - a search of LinkedIn reveals 9,369 results for "machine learning". Subsequent posts will elaborate on these in more detail. September 1, 2015 at 8:52 PM. Thanks for sharing your interesring post. Koyo kaki bamboo vbo original. Harga Grosir Termurah Agen Moment Slimmer. R for Public Health.

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Shifting sands: April 2014

http://petewerner.blogspot.com/2014_04_01_archive.html

A man with a hammer. Friday, April 25, 2014. Fractional sums of Perlin Noise. I wanted to mess around with fractional sums of Perlin noise, so made a little openFrameworks app to better understand what is going on. Frequency comes up quite a bit in the following discussion, and more or less means the rate at which something goes up and down. All you really need to keep in mind is:. High frequency noise goes up and down quickly. It looks like this (where black is 0 and white is 1):. It looks like this:.

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Shifting sands: Density Plot with ggplot

http://petewerner.blogspot.com/2012/12/density-plot-with-ggplot.html

A man with a hammer. Monday, December 17, 2012. Density Plot with ggplot. This is a follow on from the post Using apply sapply and lappy in R. The dataset we are using was created like so:. M - matrix(data=cbind(rnorm(30, 0), rnorm(30, 2), rnorm(30, 5) , nrow=30, ncol=3). Three columns of 30 observations, normally distributed with means of 0, 2 and 5. We want a density plot to compare the distributions of the three columns using ggplot. First let's give our matrix some column names:. Has a partner in cri...

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Shifting sands: Using apply, sapply, lapply in R

http://petewerner.blogspot.com/2012/12/using-apply-sapply-lapply-in-r.html

A man with a hammer. Monday, December 17, 2012. Using apply, sapply, lapply in R. This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will look at density plots with ggplot. But first I thought I would go on a tangent to give some examples of the apply family, as they come up a lot working with R. It looked a bit like this. 1,] 005517714 0.014054038 0.017260447. M - matrix(data=cbin...

rforpublichealth.blogspot.com rforpublichealth.blogspot.com

R for Public Health: November 2013

http://rforpublichealth.blogspot.com/2013_11_01_archive.html

R for Public Health. Wednesday, November 13, 2013. Ggplot2: Cheatsheet for Scatterplots. Quick Intro to ggplot2. Quick Intro to ggplot2. The way ggplot2 works is by layering components of your plot on top of each other. You start with the basic of the data you want your plot to include (x and y variables), and then layer on top the kind of plotting colors/symbols you want, the look of the x- and y-axes, the background color, etc. You can also easily add regression lines and summary statistics. Package to...

rforpublichealth.blogspot.com rforpublichealth.blogspot.com

R for Public Health: January 2014

http://rforpublichealth.blogspot.com/2014_01_01_archive.html

R for Public Health. Thursday, January 9, 2014. Ggplot2: Cheatsheet for Barplots. Aggregate data for barplot. In the second of the series, this post will go over barplots in ggplot2. Our data is from mtcars as before. Library(ggplot2) library(gridExtra) mtc - mtcars. To introduce the barplot, I show the basic default bargraph that you would get if you indicate an x-variable and use the default geom bar. Layer, which is geom bar(stat=“bin”). You could just write geom bar(). Aggregate data for barplot.

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Shifting sands: The R documentation is bad

http://petewerner.blogspot.com/2015/03/the-r-documentation-is-bad.html

A man with a hammer. Friday, March 6, 2015. The R documentation is bad. I have been using R for some time now and still can find it frustrating to work with. Over the years have come to the conclusion that it is primarily due to the documentation being bad. I offer no actual solutions here, but thought I would try and write down exactly what I dislike about it. As an example, let’s look at creating an identity matrix. Pretend we are new to R and staring at the prompt. Let’s try a search, typing? 8220;A t...

rforpublichealth.blogspot.com rforpublichealth.blogspot.com

R for Public Health: Animations and GIFs using ggplot2

http://rforpublichealth.blogspot.com/2014/12/animations-and-gifs-using-ggplot2.html

R for Public Health. Friday, December 26, 2014. Animations and GIFs using ggplot2. Tracing a regression line. Happy New Year plot. Happy New Year everyone! For the last post of the year, I thought I’d have a little fun with the new animation package in R. It’s actually really easy to use. I recently had some fun with it when I presented my research at an electronic poster session, and had an animated movie embedded into the powerpoint. All of the GIFs above use ggplot. 1 Tracing a regression line. But th...

rforpublichealth.blogspot.com rforpublichealth.blogspot.com

R for Public Health: ggplot2: Cheatsheet for Visualizing Distributions

http://rforpublichealth.blogspot.com/2014/02/ggplot2-cheatsheet-for-visualizing.html

R for Public Health. Monday, February 17, 2014. Ggplot2: Cheatsheet for Visualizing Distributions. In the third and last of the ggplot series, this post will go over interesting ways to visualize the distribution of your data. I will make up some data, and make sure to set the seed. Ive already done a post on histograms. Using base R, so I wont spend too much time on them. Here are the basics of doing them in ggplot. More on all options for histograms here. Also, I found this really great aggregation.

rforpublichealth.blogspot.com rforpublichealth.blogspot.com

R for Public Health: March 2015

http://rforpublichealth.blogspot.com/2015_03_01_archive.html

R for Public Health. Monday, March 9, 2015. Let’s start with what lists are and how to construct them. A list is a data structure that can hold any number of any types of other data structures. If you have vector, a dataframe, and a character object, you can put all of those into one list object like so:. Create three different classes of objects vec - 1:4 df - data.frame(y = c(1:3), x = c(m, m, f) char - Hello! 1] # [1] 1 2 3 4 # # [ 2] # y x # 1 1 m # 2 2 m # 3 3 f # # [ 3] # [1] Hello! Many ways): the...

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R by examples

Sunday, July 12, 2015. Let's try regression on the auto dataset. Regfit.full - regsubsets(price ., auto). It doesn't work because by default, exhaustive search is performed. This requires lots of permutations, so you have to set really.big=TRUE if you want this. But let's just make things simpler by carving out a subset of variables:. Autosmall - auto[,c(2,3,5,6,7,8,9,10,11)]. Regfit.full - regsubsets(price . , autosmall). The indicates we want all variables to be considered. For model selection, it'll b...

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