reate two vectors each having 10 random integers from 2 to 100. Apply the function LeastCommonMultiple to all numbers in your vectors to check their element-wise least common multiples using map2_dbl function in purrr package. For instance, if the random numbers are [2 10 25 13 6 12 11 20 4 8] and [7 6 10 3 12 5 4 30 17 16] then the result should be [14 30 50 39 12 60 44 60 68 16]. (b) Read currency.xls
1.(a)Write a function named LeastCommonMultiple that takes two integers and
returns their smallest common multiple. For instance, least common multiple of 10 and 12 is
60. Create two
LeastCommonMultiple to all numbers in your vectors to check their element-wise least
common multiples using map2_dbl function in purrr package. For instance, if the random
numbers are [2 10 25 13 6 12 11 20 4 8] and [7 6 10 3 12 5 4 30 17 16] then the result should be
[14 30 50 39 12 60 44 60 68 16].
(b) Read currency.xlsx file and store its content in a data frame or tibble. The excel file
contains daily exchange rates of Bank of Canada.
(c)
In order to have one observation in each row, apply pivot_longer function to the data
frame and create Currency column which will have a value FXBRLCAD, FXEURCAD, FXTRYCAD,
or FXUSDCAD.
(d)
Create the following line plot.
(e)
Separate the date column into year, month, and day columns
(f)
Create the following point plot using faceting
You can use filter function to get only “FXEURCAD” and “FXUSDCAD”. You can use
group_by and summarise functions to compute average rate per month.
(g) Unite the year, month, and day columns into one date column.
(h)
Widen your data by applying pivot_wider function. At the end, you should have the
initial data.
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