#this code will plot wind roses from 30 min data from Energy farm using

Question

#openair, so openair should be loaded.

#1

library (openair)

#2

#now look at the data file to familiarize yourself with it. This is a real

#data file from a field campaign.

#import the data as you did in class (say that you name the data frame

#mydata)

#3

#this file contains a lot of data you do not need for this homework, so it is

#a good idea to get only the data of interest (say that you name a new data

#frame interestdata).

#For wind roses all you need is date, time, wind speed and #wind direction.

#Read also DOY (see toward the end of this unfinished code to see where you

#can use it).

#4

#rename the columns so that openair can recognize ws and wd but first check

#what are the column names in data frame mydata. A simple way for doing this

#is by clicking the data frame that appears in the Environment window (top

#right, as soon as you run the import () function)

#example with 'date'

#5

#make a basic windrose

#6

#make a windrose with type-month (the data run a span of 5 months)

#7

#choose a date/time range and create a windrose for that

#for example for weekdays 7AM to 7PM (1.e., 7:19)

#hint: create a new dataframe using selectByDate () and then plot the

#windrose for the new dataframe

#8

#create a series of daily wind roses

#hint: use DOY (day of year) from your interestdata dataframe.

#choose one starting DOY and one ending DOY

#hint: use function subset().