![]() ![]() Exact binomial intervals, robustness, HW3: goodness-of-fit, binomial CI, Winsorized meansġ2. CI for proportion, small sample properties with readingsĠ7. T1 t2 t3 t4 s1 s2 baby birth R (web baby name wizard)ġ6 Maps in R Ch 16 R Crime maps: Albuquerque and, discuss a few optim(), wcloud images Lecture notes for Statistical Computing (SC1) Stat 590 University of New Mexico is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at. YouTube Video playlist (try 1.5 speed, then pause as you need).īrief DataVis Presentation from Allen and Erhardt book chapter. Post-class (Following Thursday-Tuesday): Grading (crowdgrader, following 1 week + Tuesday before class).Post-class (Thursday): Homework ( crowdgrader, due following Thursday before class).In-class: Activities in class Tuesday and Thursday.Pre-class (Tuesday): Reading, Video, Quiz (due before class).Timetable (content will be filled in soon for F15) Each week has this structure: (Instead of having you struggle alone at home with homework.) Lectures will become reading before class with a brief quiz, and class periods will be spent working on assignments and projects, often in teams. Updating for Fall 2015 - will be a “flipped” class. News: (I reserve the right to continue to improve the materials throughout the semester.) R + knitr + LaTeX is required (Note: this is what happens in my class if you use MS Word) Install LaTeX (for knitr document preparation).Run Rstudio and install a package we’ll use (this will test that R’s working), in console window (bottom left) type: install.packages(“ggplot2”). ![]() These videos may be helpful: Install R on Mac (2 min), Install R for Windows (3 min), Install R and RStudio on Windows (5 min). Install R ( windows or mac) then Rstudio.Sign up for crowdgrader (which uses gmail account).We will be using your google account for crowdgrader ( Create a google account if you don’t already have one).This video will guide you though the installations. If you don’t have a computer, campus resources are available (but we’ll need to make special arrangements). Don’t worry.īefore first day: Step 0: Set up LaTeX, R, and Rstudioīefore our first class (Tue 8/18) please read through the following and install the required software on your computer. If you are waitlisted, as long as there are seats available I will override you into the course. What is your Math/Stat background (that is, do you have the pre-reqs)? What registration error did you get (copy/paste is best)?ģ. Fall 2015 Syllabus is below tableįall 2015 schedule Stat 590.001 ( CRN 53402), TR 14:00–15:15, SMLC 120ĭid you receive a registration error for Fall 2015? Send me an email with the following answers:ġ. Learn to produce beautiful (LaTeX) and reproducible (knitr) reports with informative plots (lattice, ggplot2) and tables (xtable) by writing code (R, Rstudio) to answer questions using computational or robust statistical methods (MCMC, bootstrap), which you’ll be proud to publish (packaging commented code). UNM Stat 590: Statistical Computing (SC1). ![]()
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