# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages
# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats
# For example, here's several helpful packages to load in 

library(ggplot2) # Data visualization
library(readr) # CSV file I/O, e.g. the read_csv function

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory

system("ls ../input")

# Any results you write to the current directory are saved as output.

t <- seq(from=0, to=800, by=.01)
a <- 60
b <- 35
h <- 10
x <- (a-b)*cos(t) + h*cos((a-b)*t/b)
y <- (a-b)*sin(t) - h*sin((a-b)*t/b)
plot(x, y, type="l", col="red", asp=1)