Difference between revisions of "Software tutorial"

From Statistics for Engineering
Jump to navigation Jump to search
(Created page with "This tutorial will expand as we progress in the course. Each section has notes for both MATLAB and Python. # [[Software tutorial/About the course software | About the course...")
 
 
(18 intermediate revisions by the same user not shown)
Line 1: Line 1:
This tutorial will expand as we progress in the course. Each section has notes for both MATLAB and Python.
The tutorial below is intended to be a self-directed learning experience for the R statistical language. (Another highly-recommended tutorial is [https://www.datacamp.com/courses/free-introduction-to-r available here])


# [[Software tutorial/About the course software | About the course software]]
# [[Software tutorial/About the course software | About the course software]]
# [[Software tutorial/Software installation | Software installation]]
# [[Software tutorial/Software installation | Software installation]]
# [[Software tutorial/Getting started|Getting started]]
# [[Software tutorial/Getting started|Getting started]]
<!-- # [[Software tutorial/My first program|My first program]] (required for [[Tutorial_1_-_2010|tutorial 1]])
# [[Software tutorial/Reading data into R|Reading data into R]]
# [[Software tutorial/Basic data manipulation in R|Basic data manipulation in R]]
# [[Software tutorial/Basic plots in R|Basic plots in R]]
# [[Software tutorial/Plots with multiple series, colour, and legends|Plots with multiple series, colour, and legends]]
# [[Software tutorial/Histograms|Histograms]]
# [[Software tutorial/Annotating plots: grid lines, arrows, lines, and identifying interesting points|Annotating plots: grid lines, arrows, lines, and identifying interesting points]]
# [[Software tutorial/Dealing with factors (categorical variables)|Dealing with factors (categorical variables)]]
# [[Software tutorial/Calculating statistics from a data sample|Calculating statistics from a data sample]]
# [[Software tutorial/Dealing with distributions|Dealing with distributions]]
# [[Software tutorial/Extending R with packages|Extending R with packages]]
# [[Software tutorial/Programming in R: loops and flow control|Programming in R: loops and flow control]]
# [[Software tutorial/Vectors and matrices|Vectors and matrices]]
# [[Software tutorial/Building a least squares model in R|Building a least squares model in R]]
# [[Software tutorial/Extracting information from a linear model in R|Extracting information from a linear model in R]]
# [[Software tutorial/Testing a linear model in R|Testing a linear model in R]]
# [[Software tutorial/Transformation of data in a linear model|Transformation of data in a linear model]]
# [[Software tutorial/Investigating outliers, discrepancies and other influential points|Investigating outliers, discrepancies and other influential points]]
# [[Software tutorial/Linear models with multiple X-variables (MLR)|Linear models with multiple X-variables (MLR)]]
# [[Software tutorial/Linear models with integer variables|Linear models with integer variables]]
 
<!--
# [[Software tutorial/Loops|<tt>for</tt> loops and <tt>while</tt> loops]] (required for [[Tutorial_1_-_2010|tutorial 1]])
# [[Software tutorial/Loops|<tt>for</tt> loops and <tt>while</tt> loops]] (required for [[Tutorial_1_-_2010|tutorial 1]])
# [[Software tutorial/Scripts and functions|Scripts and functions]] (useful for [[Tutorial_2_-_2010|tutorial 2]])
# [[Software tutorial/Scripts and functions|Scripts and functions]] (useful for [[Tutorial_2_-_2010|tutorial 2]])
# [[Software tutorial/Vectors and arrays|Vectors and arrays]] (used for [[Tutorial_3_-_2010|tutorial 3]])
# [[Software_tutorial/Matrix_operations|Matrix operations]] (used for [[Tutorial_4_-_2010|tutorial 4]])
# [[Software_tutorial/Functions as objects|Functions as objects]] (used for [[Tutorial_5_-_2010|tutorial 5]] to find the zero of a function)
# [[Software_tutorial/Functions as objects|Functions as objects]] (used for [[Tutorial_5_-_2010|tutorial 5]] to find the zero of a function)
# [[Software_tutorial/Creating and saving plots|Creating and saving plots]] : important for all remaining assignments, and the take-home exam.
# [[Software_tutorial/Creating and saving plots|Creating and saving plots]] : important for all remaining assignments, and the take-home exam.
# [[Software_tutorial/Integration of ODEs|Integrating ODEs]]: a tutorial on integrating ODEs in MATLAB and Python
# [[Software_tutorial/Integration of ODEs|Integrating ODEs]]: a tutorial on integrating ODEs in MATLAB and Python
# [[Software_tutorial/Least squares modelling (linear regression)|Least squares modelling]]: a tutorial on (linear regression) in MATLAB and Python
# [[Software_tutorial/Least squares modelling (linear regression)|Least squares modelling]]: a tutorial on (linear regression) in MATLAB and Python
# [[Software_tutorial/Loading data in MATLAB or Python| Loading data in MATLAB or Python]] from Excel, CSV and XML files
# [[Software_tutorial/Loading data in MATLAB or Python| Loading data in MATLAB or Python]] from Excel, CSV and XML files -->
 
* Want tutorials on other topics: please [mailto:kgdunn@gmail.com email me]
<!-- * A note about the videos in this tutorial: they are from [http://www.youtube.com/playlist?list=PLjTlxb-wKvXPqyY3FZDO8GqIaWuEDy-Od Roger Peng's YouTube] channel on R Videos. He is running a MOOC on [https://class.coursera.org/compdata-002 Computing for Data Analysis] which started on 2 January, and has recently finished (February 2012).
  -->
  -->


* Want tutorials on other topics: please [mailto:kevin.dunn@mcmaster.ca email me]
== R-related resources ==
<!-- == Need some more help? ==


Not every aspect about R can be covered with our tutorial (above).  Here are some additional resources.
Not every aspect about R can be covered with our tutorial (above).  Here are some additional resources.
* [https://en.wikipedia.org/wiki/R_(programming_language) Wikipedia page about R]
* [http://www.statmethods.net/index.html Another good tutorial, Quick-R]: follow the links on the left-hand side
* [http://www.twotorials.com/ The two-minute tutorials] on many R-related aspects
<!--
* Tutorial on removing white space around figures
* Add tutorial on drawing lines (cf the "line" vs "lines" function)
* Add tutorial on font sizes for plots, axis labels, and category labels (bar plot).  See univariate/code/histogram-children-by-gender.R
* Adding formula to labels: main=(expression(""*mu*"=0"))
* Add tutorial from: https://servera/knol/index.php/R_tips
yahoo2 <- yahoo[ yahoo$date >= as.Date('2008-01-01'), ]
plot(x=yahoo2$date, y=yahoo2$close,  main='YHOO stock close', xlab='date', ylab='close ($)')
plot.ts function
== Need some more help? ==


{| class="wikitable"
{| class="wikitable"

Latest revision as of 12:06, 12 August 2018

The tutorial below is intended to be a self-directed learning experience for the R statistical language. (Another highly-recommended tutorial is available here)

  1. About the course software
  2. Software installation
  3. Getting started
  4. Reading data into R
  5. Basic data manipulation in R
  6. Basic plots in R
  7. Plots with multiple series, colour, and legends
  8. Histograms
  9. Annotating plots: grid lines, arrows, lines, and identifying interesting points
  10. Dealing with factors (categorical variables)
  11. Calculating statistics from a data sample
  12. Dealing with distributions
  13. Extending R with packages
  14. Programming in R: loops and flow control
  15. Vectors and matrices
  16. Building a least squares model in R
  17. Extracting information from a linear model in R
  18. Testing a linear model in R
  19. Transformation of data in a linear model
  20. Investigating outliers, discrepancies and other influential points
  21. Linear models with multiple X-variables (MLR)
  22. Linear models with integer variables


  • Want tutorials on other topics: please email me

R-related resources

Not every aspect about R can be covered with our tutorial (above). Here are some additional resources.


Retrieved from "https://learnche.org/wiki_4C3/index.php?title=Software_tutorial&oldid=1698"