The document appears to be notes from a meeting of the Tokyo.R group. It includes an agenda, introductions of attendees, and a discussion of graphs comparing animal body weight and brain weight for different species. One graph focuses on humans and compares their brain weight and body weight to other animals.
The document appears to be notes from a meeting of the Tokyo.R group. It includes an agenda, introductions of attendees, and a discussion of graphs comparing animal body weight and brain weight for different species. One graph focuses on humans and compares their brain weight and body weight to other animals.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
This slide was presented in Tokyo.R #22.It describes about design of experiment with R. DoE.base package is useful for software testing because it makes easier for us to make orthogonal array.
This document introduces ggplot2, an R package for creating graphs and plots. It discusses the core components of ggplot2 including ggplot() for initializing plots, geom for geometries like points and lines, stat for statistical transformations, and opts for setting plot options. It provides examples using the mtcars dataset to demonstrate how to create scatter plots and add regression lines using the grammar of graphics of ggplot2.
This document discusses analyzing Twitter data from the user @a_bicky using R. It extracts over 3,200 tweets from the user's timeline using the twitteR package. The tweets are transformed into a data frame with variables like text, date, and source. The data is then summarized using the reshape2 and ggplot2 packages to calculate metrics like average text length by day of week, month, and source. Frequency tables and heat maps are generated to explore patterns in the Twitter data over time.
This slide was presented in Tokyo.R #22.It describes about design of experiment with R. DoE.base package is useful for software testing because it makes easier for us to make orthogonal array.
This document introduces ggplot2, an R package for creating graphs and plots. It discusses the core components of ggplot2 including ggplot() for initializing plots, geom for geometries like points and lines, stat for statistical transformations, and opts for setting plot options. It provides examples using the mtcars dataset to demonstrate how to create scatter plots and add regression lines using the grammar of graphics of ggplot2.