-Date: 2011-05-17 1~~7:0~~1:3~~5~~ PDT

+Date: 2011-05-17 18:21:34 PDT

-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

-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`

+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

+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

+ 36.1 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

+- [http://www.statmethods.net/index.html] (or google quick-r)

+- type ? followed by a function name to see built-in help

Start the R interpreter and print the string "hello world"

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

---------------------------------------------------------------------------------

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

+---------------------------------------------------------

+36.1 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

+===========================================================================