November 2017
Beginner to intermediate
366 pages
7h 59m
English
The following is the complete R code used for this project:
# Generate datadata <- rnorm(1000, mean=25, sd=5)data.1 <- rnorm(1000, mean=10, sd=2)data <- c(data, data.1)# Plot histogramhist(data)# View the binshist(data, plot = FALSE)# Histogram with modified binshist(data, breaks = seq(0,50,2))# Kernel Density estimationkde = density(data)plot(kde)library(pdfCluster)kde.1 <- kepdf(data)plot(kde.1)kde.1@kernelkde.1@par# Twitter Textlibrary(twitteR, quietly = TRUE)consumer.key <- ""consumer.secret <- ""access.token <- ""token.secret <- ""setup_twitter_oauth(consumer.key, consumer.secret, access.token, token.secret)blade_runner <- searchTwitter("#bladeRunner", n=100,lang = "en")tweet.df <- twListToDF(blade_runner)head(tweet.df) ...Read now
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