# Base R Plot Series (Part = 1): Line Graph

We introduce a "back to basics" series of R plots using only base R - no ggplot, no ggplot2. Other parts of the series:

## Plot me a Line Graph (and a bit more)!

**Task**: Create a graph by using the dataset of Apple (AAPL) weekly stock prices for 2015. The

horizontal line is the mean. The data can be found at: “http://real-chart.finance.yahoo.com/table.csv?s=

AAPL&a=00&b=1&c=2015&d=11&e=31&f=2015& g=w&ignore=.csv”**Method**: R Studio, Base R**Dataset**: Financial time series (in script download)

## Code & Result

df_apple <- read.csv(url('http://real-chart.finance.yahoo.com/table.csv?s=AAPL&a=00&b=1&c=2015&d=11&e=31&f=2015& g=w&ignore=.csv')) # change Date data type df_apple$Date <- as.Date(df_apple$Date) # add column with week numbers to data frame df_apple <- cbind(df_apple, Week = format(df_apple$Date, format = "%W")) # leave only the last entry for each week df_apple <- df_apple[-which(duplicated(df_apple$Week), TRUE), ] # add symbols for decrease and increase pch = rep(21, length(df_apple$Close)) col = rep(8, length(df_apple$Close)) for (i in 52:1) { if (df_apple$Close[i] > df_apple$Close[i+1]) { pch[i] <- 24 col[i] <- 2 } else { pch[i] <- 25 col[i] <- 3 } } # plot the graph plot(df_apple$Date, df_apple$Close, pch = pch, col = col, bg = col, main = "Apple Weekly Closing Price 2015", ylab = "Closing Price", xlab = "Date") lines(df_apple$Date, df_apple$Close, lty = 5, col = 8) legend("topright", c("Initial", "Decrease", "Increase"), pch = c(21, 25, 24), col = c(8, 3, 2)) # add horizontal line abline(h = mean(df_apple$Close), lty = 3)