MonkmanMH

### ---
#
# from @expersso

set.seed(894)  # number of regular season NHL goals Wayne Gretzky scored 
 
x <- replicate(10000, sum(sample(0:1, 20, TRUE, c(0.945, 0.055))))

table(ifelse(x == 0, "Team A win", ifelse(x == 1, "Draw", "Team B win"))) / 100

MonkmanMH

## make it reproducible

set.seed(8675309)


## two normally distributed variables

X1 <- rnorm(100, mean = 0, sd = 1) 
X2 <- rnorm(100, mean = 0, sd = 1) 

MonkmanMH

# quick example of mutate (in the dplyr R package) to create a dummy variable

# packages (from the tidyverse)
library(tibble)
library(dplyr)

# a little tibble with an ID number and a gender variable (5 Female, 3 Male, 2 Not Stated)
mydata <- tibble(id = 1:10, gender = c("F", "F", "F", "F", "F",
                                       "M", "M", "M", 
                                       "NS", "NS"))

MonkmanMH

library(tidyverse)

datatab <- as.tibble(c(1:10))

# modulo division
datatab$value %% 2

# since we have alternating even and odd value in "value" variable
datatab %>%
  mutate(valueplus = ifelse((value %% 2) == 0, "even", "odd"))

MonkmanMH

# Problem: 
# - row 2 of data file has non-data title that repeats every two columns
# - column 1 / row 1 header label is fine
# - the header in every even-numbered column applies to the next odd-humbered column (eg 2 applies to 3, 4 to 5, etc)
# - the header in those odd-numbered columns (3, 5, 7, etc) is read initially as an NA
# Solution
# - read column names only
# - hard code even and odd suffix
# - copy header value in those even columns to odd columns

MonkmanMH

#
library(Lahman)
data(Master)
#
# `debut` variable; create new version `debutDate`
Master$debutDate <- (as.Date(Master$debut, "%m/%d/%Y"))
Master$debutDate[is.na(Master$debutDate)] <- 
  as.Date(Master$debut[is.na(Master$debutDate)])
#
# `finalGame` variable; create new version `finalGameDate`

MonkmanMH

---
title: "Testing Lahman 3.0"
author: "Martin Monkman"
date: "Sunday, August 31, 2014"
output: html_document
---

This markdown document incorporates a variety of short scripts that draw on the various tables in the `Lahman` package. (See the Lahman project page on RForge for more details <http://lahman.r-forge.r-project.org/>.)

Note that some of scripts appear in the documentation of other R packages; in those cases, the original source is noted prior to the script.

MonkmanMH

Input Output models

##BC Stats BC Stats Input-Output model

KITSAULT MINE PROJECT, ENVIRONMENTAL ASSESSMENT: APPENDIX 7.0-B BC Stats BC Input - Output Model Report

Mountain Biking in Rossland and Golden

MonkmanMH

if (!require(wesanderson)) install.packages("wesanderson")
library(wesanderson)
# for more on the Wes Anderson colour palette:
# https://github.com/karthik/wesanderson#wes-anderson-palettes
# http://blog.revolutionanalytics.com/2014/03/give-your-r-charts-that-wes-anderson-style.html
#
#
#
# add some Wes Anderson "Grand Budapest Hotel" colour to print object "p2"
p2 + scale_fill_manual(values = wes.palette(4, "GrandBudapest")) 

MonkmanMH

#
# setwd("D:/R_the software/datatrials/Lahman")
#
require(Lahman)
require(dplyr)
#
# throwing by position
# version 1 - "merge"
MasterFielding <- data.frame(merge(Master, Fielding, by="playerID"))
MasterFielding <- merge(Master, Fielding, by="playerID")