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`                                 ======`
` `
` Author: Tavis Rudd`
`-Date: 2011-05-17 17:01:35 PDT`
`+Date: 2011-05-17 18:21:34 PDT`
` `
` `
` Table of Contents`
` =================`
`-1 hello world `
`-2 hello.world function `
`-3 create an anonymous version of the same function `
`-4 use Google to figure out what R's rules are for naming variables and functions `
`-5 hello(name) function `
`-6 hello(name) with a default argument `
`-7 create a `vector` of the following strings and assign it to a variable `
`-8 use help.search to find a function that can convert each element in that vector to uppercase `
`-9 find a function that will give you the length of the vector `
`-10 figure out the syntax to get the third element in the vector `
`-11 create a function that applies another function to each element in a vector `
`-12 find a function that will create a sequence of integers `
`-13 use that function and the `matrix` function to create a 4 x 5 matrix of the first 20 natural numbers `
`-14 figure out the syntax to get the matrix element at row 2, col 3 `
`-15 multiply every element in the matrix by 3 `
`-16 find a function that gives you the dimensions of the matrix `
`-17 convert this matrix to a vector `
`-18 create a Boolean matrix of the same size `
`-19 use the Boolean matrix to take a subset of our first matrix `
`-20 what is the type of the subset `
`-21 figure out how to create a random sample of 100 integers `
`-22 take a random sample of five elements from your first matrix `
`-23 find the built-in dataset `swiss` and the help information about it `
`-24 what are the `type`, `dimensions`, `structure`, and `dimension names` of this dataset `
`-25 figure out how to access each column of this dataset individually `
`-26 show the first and last six elements of this dataset `
`-27 what are the types of the columns in `swiss` `
`+1 Resources `
`+2 hello world `
`+3 hello.world function `
`+4 create an anonymous version of the same function `
`+5 use Google to figure out what R's rules are for naming variables and functions `
`+6 hello(name) function `
`+7 hello(name) with a default argument `
`+8 create a `vector` of the following strings and assign it to a variable `
`+9 use help.search to find a function that can convert each element in that vector to uppercase `
`+10 find a function that will give you the length of the vector `
`+11 figure out the syntax to get the third element in the vector `
`+12 create a function that applies another function to each element in a vector `
`+13 find a function that will create a sequence of integers `
`+14 use that function and the `matrix` function to create a 4 x 5 matrix of the first 20 natural numbers `
`+15 figure out the syntax to get the matrix element at row 2, col 3 `
`+16 multiply every element in the matrix by 3 `
`+17 find a function that gives you the dimensions of the matrix `
`+18 convert this matrix to a vector `
`+19 create a Boolean matrix of the same size `
`+20 use the Boolean matrix to take a subset of our first matrix `
`+21 what are the type and dimensions of the subset `
`+22 figure out how to create a random sample of 100 integers `
`+23 take a random sample of five elements from your first matrix `
`+24 find a way to sort the result of that sampling `
`+25 create a `list` that contains the letters of English and `
`+26 find the built-in dataset `swiss` and the help information about it `
`+27 what are the `type`, `dimensions`, `structure`, and `dimension names` of this dataset `
`+28 figure out how to access each column of this dataset individually `
`+29 show the first and last six elements of this dataset `
`+30 what are the types of the columns in `swiss` `
`+31 create a subset of swiss that only includes the columns Catholic and Fertility `
`+32 create a subset only showing the regions that are at least 50% Catholic `
`+33 use the functions that Isabella mentioned to examine the swiss data `
`+34 look at the `airquality` built-in dataset and create a subset without the NA Ozone values removed `
`+35 plot the various dimensions of the airquality dataset `
`+36 advanced exercise `
`+    36.1 work in groups to choose some line-based log data (like apache logs, syslog, etc.) `
`+    36.2 use `awk`, `perl`, `sed` or similar to select a subset (match a regular expression) and output csv `
`+    36.3 save the output into a csv file and then import into R `
`+    36.4 use what you've learnt so far to explore, summarize and plot the data `
` `
` `
`-1 hello world `
`+1 Resources `
`+------------`
`+- [http://www.statmethods.net/index.html] (or google quick-r)`
`+`
`+- type ? followed by a function name to see built-in help`
`+`
`+- help.search function`
`+`
`+2 hello world `
` --------------`
` Start the R interpreter and print the string "hello world"`
` `
`-2 hello.world function `
`+3 hello.world function `
` -----------------------`
` Create a function called hello.world that does what you did manually`
` in the previous exercise. `
` `
`-3 create an anonymous version of the same function `
`+4 create an anonymous version of the same function `
` ---------------------------------------------------`
` `
`-4 use Google to figure out what R's rules are for naming variables and functions `
`+5 use Google to figure out what R's rules are for naming variables and functions `
` ---------------------------------------------------------------------------------`
` `
`-5 hello(name) function `
`+6 hello(name) function `
` -----------------------`
` Create a variant of the previous function that accepts a `name``
` parameter and prints "Hello Mary", "Hello Lamb", etc. `
` `
` Hint: you'll need to figure out how to concatenate/join strings`
` `
`-6 hello(name) with a default argument `
`+7 hello(name) with a default argument `
` --------------------------------------`
` Give the `name` argument a default value.`
` `
`-7 create a `vector` of the following strings and assign it to a variable `
`+8 create a `vector` of the following strings and assign it to a variable `
` -------------------------------------------------------------------------`
` "Mary", "had", "a", "little", "lamb"`
` `
`-8 use help.search to find a function that can convert each element in that vector to uppercase `
`+9 use help.search to find a function that can convert each element in that vector to uppercase `
` -----------------------------------------------------------------------------------------------`
` `
`-9 find a function that will give you the length of the vector `
`---------------------------------------------------------------`
`+10 find a function that will give you the length of the vector `
`+---------------------------------------------------------------`
` `
`-10 figure out the syntax to get the third element in the vector `
`+11 figure out the syntax to get the third element in the vector `
` ----------------------------------------------------------------`
` `
`-11 create a function that applies another function to each element in a vector `
`+12 create a function that applies another function to each element in a vector `
` -------------------------------------------------------------------------------`
` `
`-12 find a function that will create a sequence of integers `
`+13 find a function that will create a sequence of integers `
` -----------------------------------------------------------`
` This is like the `range` function in Python.`
` `
`-13 use that function and the `matrix` function to create a 4 x 5 matrix of the first 20 natural numbers `
`+14 use that function and the `matrix` function to create a 4 x 5 matrix of the first 20 natural numbers `
` --------------------------------------------------------------------------------------------------------`
` `
`-14 figure out the syntax to get the matrix element at row 2, col 3 `
`+15 figure out the syntax to get the matrix element at row 2, col 3 `
` -------------------------------------------------------------------`
` `
`-15 multiply every element in the matrix by 3 `
`+16 multiply every element in the matrix by 3 `
` ---------------------------------------------`
` `
`-16 find a function that gives you the dimensions of the matrix `
`+17 find a function that gives you the dimensions of the matrix `
` ---------------------------------------------------------------`
` `
`-17 convert this matrix to a vector `
`+18 convert this matrix to a vector `
` -----------------------------------`
` `
`-18 create a Boolean matrix of the same size `
`+19 create a Boolean matrix of the same size `
` --------------------------------------------`
` ... that indicates whether the elements in our first matrix are > 13`
` `
`-19 use the Boolean matrix to take a subset of our first matrix `
`+20 use the Boolean matrix to take a subset of our first matrix `
` ---------------------------------------------------------------`
` ... where the condition is true`
` ... and where it is false`
` `
`-20 what is the type of the subset `
`-----------------------------------`
`+21 what are the type and dimensions of the subset `
`+--------------------------------------------------`
` `
`-21 figure out how to create a random sample of 100 integers `
`+22 figure out how to create a random sample of 100 integers `
` ------------------------------------------------------------`
` `
`-22 take a random sample of five elements from your first matrix `
`+23 take a random sample of five elements from your first matrix `
` ----------------------------------------------------------------`
` `
`-23 find the built-in dataset `swiss` and the help information about it `
`+24 find a way to sort the result of that sampling `
`+--------------------------------------------------`
`+`
`+25 create a `list` that contains the letters of English and `
`+------------------------------------------------------------`
`+... and their position in the alphabet as separate fields`
`+`
`+hint: letters is a constant built-in to R`
`+`
`+26 find the built-in dataset `swiss` and the help information about it `
` -----------------------------------------------------------------------`
` `
`-24 what are the `type`, `dimensions`, `structure`, and `dimension names` of this dataset `
`+27 what are the `type`, `dimensions`, `structure`, and `dimension names` of this dataset `
` -----------------------------------------------------------------------------------------`
` `
`-25 figure out how to access each column of this dataset individually `
`+28 figure out how to access each column of this dataset individually `
` ---------------------------------------------------------------------`
` `
`-26 show the first and last six elements of this dataset `
`+29 show the first and last six elements of this dataset `
` --------------------------------------------------------`
` hint: there are built in functions that will do this for you`
` `
`-27 what are the types of the columns in `swiss` `
`+30 what are the types of the columns in `swiss` `
` ------------------------------------------------`
`+`
`+31 create a subset of swiss that only includes the columns Catholic and Fertility `
`+----------------------------------------------------------------------------------`
`+`
`+32 create a subset only showing the regions that are at least 50% Catholic `
`+---------------------------------------------------------------------------`
`+`
`+33 use the functions that Isabella mentioned to examine the swiss data `
`+-----------------------------------------------------------------------`
`+`
`+34 look at the `airquality` built-in dataset and create a subset without the NA Ozone values removed `
`+-----------------------------------------------------------------------------------------------------`
`+`
`+35 plot the various dimensions of the airquality dataset `
`+---------------------------------------------------------`
`+`
`+36 advanced exercise `
`+---------------------`
`+`
`+36.1 work in groups to choose some line-based log data (like apache logs, syslog, etc.) `
`+========================================================================================`
`+`
`+36.2 use `awk`, `perl`, `sed` or similar to select a subset (match a regular expression) and output csv `
`+========================================================================================================`
`+`
`+36.3 save the output into a csv file and then import into R `
`+============================================================`
`+`
`+36.4 use what you've learnt so far to explore, summarize and plot the data `
`+===========================================================================`