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# Martin MonkmanMonkmanMH

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Created Nov 4, 2019
Answer key for tidyverse transform data exercises
View transform_data_solutions.Rmd
 --- title: "Transform Data" subtitle: "hands-on examples, with answers" output: html_notebook --- ```{r setup} library(tidyverse)
Last active Jul 12, 2020
Shows us why visualizing residuals from a model is important
View orly-owl-residuals
 library(broom) library(ggplot2) # read in the data # others available here: http://www4.stat.ncsu.edu/~stefanski/NSF_Supported/Hidden_Images/stat_res_plots.html owl <- read.table("http://www4.stat.ncsu.edu/~stefanski/NSF_Supported/Hidden_Images/orly_owl_files/orly_owl_Lin_4p_5_flat.txt", header = FALSE) # fit the linear model fit <- lm(V1 ~ . - 1, data = owl)
Last active May 19, 2017
brown bear brown bear
View brown_bear.R
 x <- c("Brown bear", "Red bird", "Yellow duck", "Blue horse", "Green frog", "Purple Cat", "Goldfish", "Teacher") txt <- capture.output(cat( sprintf("%s, %s, what do you see?\n I see a %s looking at me.\n", head(x, -1), head(x, -1), tail(x, -1)), sprintf("Teacher, Teacher what do you see\n I see Children looking at me.\nChildren Children what do you see?\n We see a %s and a Teacher looking at us, that's what we see.", paste0(collapse = ", ", head(x, -1))), sep = "")) txt #> Brown bear, Brown bear, what do you see? #> I see a Red bird looking at me. #> Red bird, Red bird, what do you see? #> I see a Yellow duck looking at me.
Last active Oct 16, 2019
Supreme Annotations - moar splainin here: http://rud.is/b/2016/03/16/supreme-annotations/ - NOTE: this requires the github version of ggplot2
Last active Sep 4, 2018
SQL Views for Sabermetrics using Lahman's Baseball Database
View sabermetrics_batting.sql
 CREATE OR REPLACE VIEW sabermetrics_batting AS SELECT batting.*, -- PA - Plate Appearances (batting.AB + batting.BB + batting.HBP + batting.SF + batting.SH) as PA, -- BB% - Walk Percentage (http://www.fangraphs.com/library/offense/rate-stats/) round((batting.BB / (batting.AB + batting.BB + batting.HBP + batting.SF + batting.SH)), 3) as BBpct,
Last active Oct 15, 2020
twee(): emulating the tree directory listing command
View twee-demo.Rmd
 --- title: "twee demo" author: "Jenny Bryan" date: "17 August, 2014" output: html_document: toc: TRUE keep_md: TRUE ---
Last active Oct 5, 2020
CSV for all US bank holidays till 2020. First row is the header. Dates are MYSQL format.
View US Bank holidays
 1,2012-01-02,New Year Day 2,2012-01-16,Martin Luther King Jr. Day 3,2012-02-20,Presidents Day (Washingtons Birthday) 4,2012-05-28,Memorial Day 5,2012-07-04,Independence Day 6,2012-09-03,Labor Day 7,2012-10-08,Columbus Day 8,2012-11-12,Veterans Day 9,2012-11-22,Thanksgiving Day 10,2012-12-25,Christmas Day
Created May 22, 2012
Captain Picard Facepalm ASCII
View picard-facepalm-ascii.txt
 ............................................________ ....................................,.-'"...................``~., .............................,.-"..................................."-., .........................,/...............................................":, .....................,?......................................................, .................../...........................................................,} ................./......................................................,:`^`..} .............../...................................................,:"........./ ..............?.....__.........................................:`.........../ ............./__.(....."~-,_..............................,:`........../
Created May 17, 2012
Example of using R Markdown
View example-r-markdown.rmd
 This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) using [knitr](http://yihui.name/knitr/) in Rstudio 0.96. This combination of tools provides an exciting improvement in usability for [reproducible analysis](http://stats.stackexchange.com/a/15006/183). Specifically, this post (1) discusses getting started with R Markdown and `knitr` in Rstudio 0.96; (2) provides a basic example of producing console output and plots using R Markdown; (3) highlights several code chunk options such as caching and controlling how input and output is displayed; (4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and (5) discusses the implications of R Markdown.
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