Publications by Jim
How to Add Superscripts and Subscripts to Plots in R?
The post How to Add Superscripts and Subscripts to Plots in R? appeared first on Data Science Tutorials How to Add Superscripts and Subscripts to Plots in R?, The basic syntax for adding superscripts or subscripts to charts in R is as follows. ggplot2 Guide define superscript expression x.expression <- expression(x^3 ~ variable ~ label) define su...
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Best Books to Learn Statistics for Data Science
The post Best Books to Learn Statistics for Data Science appeared first on Data Science Tutorials Best Books to Learn Statistics for Data Science, Do you want to learn statistics for data science? If so, read these books. If so, your quest is over here. The eight finest books for learning statistics for data science are listed in this post. So, r...
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How to Turn Off Scientific Notation in R?
The post How to Turn Off Scientific Notation in R? appeared first on Data Science Tutorials How to Turn Off Scientific Notation in R?, The following ways can be used to disable scientific notation in R. The examples that follow each method’s use in action. Method 1: Turn Off Scientific Notation as a Global Setting Suppose we multiply the follow...
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A start
I’ve decided that this summer I will finally break down and force myself to learn a little bit about using R. I currently use Stata, a very good program, but the idea of R is appealing since it’s free under the GNU license. It has a large and active user community and is constantly growing and expanding.I’ll be using this blog to keep track...
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Reading data, and a graph
Using Microsoft Excel I’m collecting aggregate data, by state, of various social, political, and economic indicators. I export them into a tab-delimited file called ‘states.txt’ (pretty clever, I know.) I’ve got data on education expenditures, firearm deaths per capita, median household income, etc. I’d like to do some analysis and grap...
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A bit about linear models
Before we delve into slightly more advanced plotting commands I want to talk a little about linear models, specifically, linear regression. In R this is very, very simple. For instance, in our ‘states’ data frame, we might want to look at median household income as a predictor of state education expenditures. The command lm calculates this fo...
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Filtering cases
Something that’s very important to be able to do in data analysis and visualization is to filter out cases. Let’s say you want to do identical analyses of two different groups, or of one group and then a subset of it. R can do this a little differently; instead of merely filtering out cases you can create an object that is a subset, and then ...
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Conservatism of Congressional delegation and %Bush vote
Busy day today, so I’ll just post this:plot(bush04 ~ cons_hr, type = “n”,xlab=”Mean ACU rating”,ylab=”2004 Bush vote”,xlim=c(0,100),ylim=c(0,100),cex.lab=1.25,cex.axis=0.75,col.axis = “#777777”,col.lab = “#777777”)text(y=bush04,x=cons_hr, labels=stateid,cex=0.75)abline(lm2, lty=2, col=”red”)axis(side = 2, at ...
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Time series data
gdp attach(gdp)as.Date(date)plot(gdp~date, data=gdp,pch=16,xlab=””,ylab=”GDP (2000 dollars)”) Related To leave a comment for the author, please follow the link and comment on their blog: Learning R. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're lookin...
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Return
I’m back from vacation, so I’ll post something substantive later today. Related To leave a comment for the author, please follow the link and comment on their blog: Learning R. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or ...
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