The three variables used are:
The data summary is shown in Table 1:
cigdata <- read.csv ("/Users/harikrishnansanthosh/Library/Mobile Documents/com~apple~CloudDocs/Desktop/UGA/AQME/Assignments_R/CigarettesB.csv")
library(stargazer)
##
## Please cite as:
## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
## R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
library(ggplot2)
stargazer(cigdata, type = "text", title = "Table 1: Summary", out="table1.txt")
##
## Table 1: Summary
## ==========================================================
## Statistic N Mean St. Dev. Min Pctl(25) Pctl(75) Max
## ----------------------------------------------------------
## packs 46 4.848 0.191 4.409 4.712 4.984 5.379
## price 46 0.206 0.086 -0.033 0.141 0.273 0.364
## income 46 4.775 0.142 4.529 4.679 4.853 5.103
## ----------------------------------------------------------
I use R code inline to compute that the dataset has 46 observations and 4 variables.
dim (cigdata)
## [1] 46 4
qplot(X,packs, data = cigdata, xlab = "States", ylab = "Log of cigarette consumption (in packs)", main = "Cigarette consumption for 46 US states 1992")