Christopher DeSante cdesante
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| toInstall <- c("ggplot2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| text.plots <- data.frame( | |
| SUPP = c (rep(c( "Control", "Vitamin C", "Orange Juice" ), each = 1500)) , | |
| DOSE = rep(rep(c( "I", "II", "III" ), each=500), 3), | |
| LENGTH = c(rnorm(500, 4, 2), | |
| rnorm(500, 7, 1.2), |
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| toInstall <- c("ggplot2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| text.plots <- data.frame( | |
| SUPP = c (rep(c( "Control", "Vitamin C", "Orange Juice" ), each = 1500)) , | |
| DOSE = rep(rep(c( "I", "II", "III" ), each=500), 3), | |
| LENGTH = c(rnorm(500, 4, 2), | |
| rnorm(500, 7, 1.2), |
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| toInstall <- c("ggplot2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| text.plots <- data.frame( | |
| SUPP = c (rep(c( "Control", "Vitamin C", "Orange Juice" ), each = 1500)) , | |
| DOSE = rep(rep(c( "I", "II", "III" ), each=500), 3), | |
| LENGTH = c(rnorm(500, 4, 2), | |
| rnorm(500, 7, 1.2), |
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| toInstall <- c("ggplot2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| text.plots <- data.frame( | |
| SUPP = c (rep(c( "Control", "Vitamin C", "Orange Juice" ), each = 1500)) , | |
| DOSE = rep(rep(c( "I", "II", "III" ), each=500), 3), | |
| LENGTH = c(rnorm(500, 4, 2), | |
| rnorm(500, 7, 1.2), |
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| toInstall <- c("ggplot2", "reshape") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| library(reshape) | |
| ANES <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/ANES.csv") | |
| party.and.region <- ANES[,c(1, 12, 16)] | |
| party.and.region.year <- melt(party.and.region, id=c("year", "south"), na.rm=TRUE) | |
| party.region.time <- (cast(party.and.region.year, year+south~variable, mean, na.rm=T) ) |
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| toInstall <- c("ggplot2", "reshape") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| library(reshape) | |
| ANES <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/ANES.csv") | |
| party.and.region <- ANES[,c(1, 12, 16)] | |
| party.and.region.year <- melt(party.and.region, id=c("year", "south"), na.rm=TRUE) | |
| party.region.time <- (cast(party.and.region.year, year+south~variable, mean, na.rm=T) ) |
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| library(plyr) | |
| library(ggplot2) | |
| library(grid) | |
| election.data <- read.csv("http://www.oberlin.edu/faculty/cdesante/assets/downloads/election2012.csv") | |
| five.thirty.free <- function (SIMS) { | |
| Mode <- function(X) { |
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| Ohio <- c() | |
| California <- c() | |
| Alabama <- c() | |
| for ( i in 1:1000) { | |
| Ohio[i] <- sample (c("Obama", "Romney"), 1) | |
| California[i] <- sample(c(rep("Obama", 9), "Romney")) | |
| Alabama[i] <- sample( c(rep("Obama", 1), rep("Romney", 9)), 1) | |
| } |
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| N <- 1:3 | |
| SE <- c(.272, .19, .16) | |
| HI <- c(1.2, 1.0, .98) | |
| LO <- c( .13, .29, .36) | |
| AVG <- c(.667, .667, .667) | |
| Shots <- c(1,0,1) | |
| for (i in 4:50) { | |
| Shots[i] <- sample(c(1,0,1), 1) | |
| N[i] <- i | |
| SE[i] <- sqrt(mean(Shots)/N[i]) |
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| Tiger <- c() | |
| LeBron <- c() | |
| for (i in 1:1000) { | |
| LeBron[i] <- sample(c( rep("Makes FT", 77), rep("Misses FT", 23)), 1) | |
| Tiger[i] <- sample(c( rep("Fairway", 49), rep("Not FW", 51)), 1) | |
| } | |
| table(LeBron, Tiger) |