In this tutorial, we explore the behavior of a normally distributed variable and work towards developing the 68-95-99.7 empirical rule.
Standard Normal Distribution with R
Author: Staff Writer
Analysis of Baseball Data with R
statistical analysis and visualization
The AL shows a higher average and greater consistency than the NL.
Data Visualization with Datawrapper
I was looking for a quick and easy online tool for displaying a small distribution and came across Datawrapper.
//datawrapper.dwcdn.net/cQ78i/1/
R – Copy Data to Clipboard
This is a great tip I discovered today:
For this example let’s create a vector in R, say 1000 observations from a normal distribution with mean, 110 and standard deviation, 15.
x=rnorm(1000,110,15)
To copy the vector to the clipboard, write the following command
write.table( x, ‘clipboard’, sep=’\t’, row.names=FALSE, col.names=FALSE )
Then paste directly into an excel or plotly (plotly.com) spreadsheet.
Display and analyze the data in your desired environment:
The Power of the Digital Pen
Presentation by Josh Seamon, Kim Evelti and myself at the MassCUE conference 2015. We shared our experiences in using digital ink in the classroom while highlighting the work of several teachers and students at Williston.
See the full presentation here.
Green Line Analytics 