Programming/R - Revision history

Brodriguez: Brodriguez moved page Programming/R (Language) to Programming/R

2020-10-25T17:28:17Z

Brodriguez moved page Programming/R (Language) to Programming/R

← Older revision

Revision as of 17:28, 25 October 2020

Brodriguez: Brodriguez moved page R (Language) to Programming/R (Language)

2020-10-25T17:27:26Z

Brodriguez moved page R (Language) to Programming/R (Language)

← Older revision

Revision as of 17:27, 25 October 2020

Brodriguez: Formatting

2020-05-31T22:35:42Z

Formatting

← Older revision		Revision as of 22:35, 31 May 2020
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	For example, maybe a dataset has multiple sets, and it makes sense to represent each set as a [[#Vector \| vector]]. Then to represent the full dataset, you might put all these vectors in a list.		For example, maybe a dataset has multiple sets, and it makes sense to represent each set as a [[#Vector \| vector]]. Then to represent the full dataset, you might put all these vectors in a list.

	==== Declaring Lists ===		==== Declaring Lists ====
	To declare a list, use the {{ ic \| list }} function and include all the desired datasets within.		To declare a list, use the {{ ic \| list }} function and include all the desired datasets within.
	# For example, to create a list of vectors, like our example scenario above.		# For example, to create a list of vectors, like our example scenario above.
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	# Sometimes, syntax uses double brackets. This seems to generally act the same as above.		# Sometimes, syntax uses double brackets. This seems to generally act the same as above.
	my_list[[1]]		my_list<nowiki>[[1]]</nowiki>

	We can add new list values with assignment. Updating uses the same syntax.		We can add new list values with assignment. Updating uses the same syntax.

Brodriguez: Add list section

2020-05-31T22:33:36Z

Add list section

@@ Line 292: / Line 292: @@
 Data Frames are a lot like [[#Matrices|matrices]], except that they are specialized to handle data sets with various different data types within.
-=== Declaring Data Frames ===
+==== Declaring Data Frames ====
   # We can use data.frame() along with desired vectors.
   # Note that we can pass in as many or few vectors as we want.
@@ Line 299: / Line 299: @@
   data.frame(my_vector_1, my_vector_2, my_vector_3)
-=== Accessing Data Frame Values ===
+==== Accessing Data Frame Values ====
 Data Frame values are accessed the same was as Matrix values. See [[#Accessing Matrix Values|Accessing Matrix Values]] for more info.

Brodriguez: Update variable examples

2020-05-31T07:28:23Z

Update variable examples

← Older revision		Revision as of 07:28, 31 May 2020
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	=== Variable Definition ===		=== Variable Definition ===
			# Null.
			type_1 <- NULL
			type_2 <- NA

			# Booleans.
	a_bool <- TRUE		a_bool <- TRUE
	b_bool <- FALSE		b_bool <- FALSE

			# Ints.
			val_1 <- 5
			val_2 <- -6

			# Strings.
	my_var_1 <- "This is "		my_var_1 <- "This is "
	my_var_2 <- "a string."		my_var_2 <- "a string."
	~~my_null <- NA~~

	=== Variable Usage ===		=== Variable Usage ===

Brodriguez: Expand functions section

2020-05-31T07:11:02Z

Expand functions section

← Older revision		Revision as of 07:11, 31 May 2020
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	my_var_1 <- "This is "		my_var_1 <- "This is "
	my_var_2 <- "a string."		my_var_2 <- "a string."
			my_null <- NA

	=== Variable Usage ===		=== Variable Usage ===
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	== ~~Common~~ Functions ==		== Functions ==
	~~Below are some common functions that apply~~ to ~~most, if not all of the data structures described above.~~		=== Declaring Custom Functions ===
			The general syntax to declare a function is:

	=== Mean ===		###
	~~Displays~~ the [[Statistics/Core Measurements#Mean\|mean]] of the passed data structure.		# Description of function.
			##
			<function_name> <- function(<args>, <kwargs>) {
			# Function logic here.

			# Return a value at end of function.
			return(<return_value>)
			}

			For example:
			###
			# This function does stuff.
			##
			my_function <- function(my_arg, my_kwarg="Default Value") {
			# Function logic here.

			return(my_value)
			}

			=== Common Functions ===
			Below are some common, prebuilt functions that apply to most, if not all of the data structures described in [[#Basic Data Structures\|Basic Data Structures]].

			==== Print ====
			Displays provided value to console. Can be used
			my_vector <- c(1, 2, 3, 4, 5)

			# This will return "3".
			mean(my_vector)

			==== Mean ====
			Returns the [[Statistics/Core Measurements#Mean\|mean]] of the passed data structure.
	# For example, we can get the mean of a vector.		# For example, we can get the mean of a vector.
	my_vector <- c(1, 2, 3, 4, 5)		my_vector <- c(1, 2, 3, 4, 5)
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	mean(my_vector)		mean(my_vector)

	=== Summary ===		==== Summary ====
	~~Displays~~ the [[Statistics/Core Measurements#Mean\|mean]], [[Statistics/Core Measurements#Median\|median]], and [[Statistics/Data Characteristics#Quartiles\|quartiles]] of the passed data structure.		Returns the [[Statistics/Core Measurements#Mean\|mean]], [[Statistics/Core Measurements#Median\|median]], and [[Statistics/Data Characteristics#Quartiles\|quartiles]] of the passed data structure.

	Generally can be very useful for getting a quick overview of data properties.		Generally can be very useful for getting a quick overview of data properties.
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	summary(my_vector)		summary(my_vector)

	=== Head ===		==== Head ====
	~~Displays~~ the first 6 or so values of the passed data structure.		Returns the first 6 or so values of the passed data structure.
	# For example, we can get the head of a vector.		# For example, we can get the head of a vector.
	my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)
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	head(my_vector)		head(my_vector)

	=== Tail ===		==== Tail ====
	~~Displays~~ the last 6 or so values of the passed data structure.		Returns the last 6 or so values of the passed data structure.
	# For example, we can get the tail of a vector.		# For example, we can get the tail of a vector.
	my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)
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	tail(my_vector)		tail(my_vector)

	=== Str ===		==== Str ====
	~~Displays~~ a quick overview of the passed data structure. Includes things like number of values, type of variables, first few observations, and more.		Returns a quick overview of the passed data structure. Includes things like number of values, type of variables, first few observations, and more.
	# For example, we can get the str of a vector.		# For example, we can get the str of a vector.
	my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)
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	str(my_vector)		str(my_vector)

	=== Subset ===		==== Subset ====
	Returns a subset of data from the passed data structure.		Returns a subset of data from the passed data structure.

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	subset(my_df, subset = rating > 3)		subset(my_df, subset = rating > 3)

	=== Order ===		==== Order ====
	~~Displays~~ indexes of ~~pass~~ data structure in ascending (smallest to largest) order.		Returns indexes of the passed data structure in ascending (smallest to largest) order.
	# For example, we can use this vector.		# For example, we can use this vector.
	my_vector <- c(5, 4, 3, 2, 1)		my_vector <- c(5, 4, 3, 2, 1)

Brodriguez: Add loops section

2020-05-31T06:05:31Z

Add loops section

@@ Line 22: / Line 22: @@
   my_var_1
   my_var_2
 === Variable Types ===
@@ Line 33: / Line 39: @@
   class(my_variable)
 == Basic Data Structures ==

Brodriguez: Create order function

2020-05-31T04:14:55Z

Create order function

← Older revision		Revision as of 04:14, 31 May 2020
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	# Then we can get a subset of only employees with ratings greater than 3.		# Then we can get a subset of only employees with ratings greater than 3.
	subset(my_df, subset = rating > 3)		subset(my_df, subset = rating > 3)

			=== Order ===
			Displays indexes of pass data structure in ascending (smallest to largest) order.
			# For example, we can use this vector.
			my_vector <- c(5, 4, 3, 2, 1)

			# This will return indexes in reverse order.
			# Aka "5, 4, 3, 2, 1", to denote value ordering.
			order(my_vector)

			# If we want, we can then pass this back into our vector to display values in order.
			vector_order <- order(my_vector)
			my_vector[vector_order )]

Brodriguez: Document subset function

2020-05-31T04:09:12Z

Document subset function

← Older revision		Revision as of 04:09, 31 May 2020
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	Displays the [[Statistics/Core Measurements#Mean\|mean]] of the passed data structure.		Displays the [[Statistics/Core Measurements#Mean\|mean]] of the passed data structure.
	# For example, we can get the mean of a vector.		# For example, we can get the mean of a vector.
	my_vector = c(1, 2, 3, 4, 5)		my_vector <- c(1, 2, 3, 4, 5)

	# This will return "3".		# This will return "3".
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	Generally can be very useful for getting a quick overview of data properties.		Generally can be very useful for getting a quick overview of data properties.
	# For example, we can get the summary of a vector.		# For example, we can get the summary of a vector.
	my_vector = c(1, 2, 3, 4, 5)		my_vector <- c(1, 2, 3, 4, 5)

	# This will return appropriate summary values.		# This will return appropriate summary values.
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	Displays the first 6 or so values of the passed data structure.		Displays the first 6 or so values of the passed data structure.
	# For example, we can get the head of a vector.		# For example, we can get the head of a vector.
	my_vector = c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)

	# This will return "1, 2, 3, 4, 5, 5".		# This will return "1, 2, 3, 4, 5, 5".
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	Displays the last 6 or so values of the passed data structure.		Displays the last 6 or so values of the passed data structure.
	# For example, we can get the tail of a vector.		# For example, we can get the tail of a vector.
	my_vector = c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)

	# This will return "5, 5, 4, 3, 2, 1".		# This will return "5, 5, 4, 3, 2, 1".
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	Displays a quick overview of the passed data structure. Includes things like number of values, type of variables, first few observations, and more.		Displays a quick overview of the passed data structure. Includes things like number of values, type of variables, first few observations, and more.
	# For example, we can get the str of a vector.		# For example, we can get the str of a vector.
	my_vector = c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)		my_vector <- c(1, 2, 3, 4, 5, 5, 4, 3, 2, 1)

	# This will return the general structure of the vector.		# This will return the general structure of the vector.
	str(my_vector)		str(my_vector)

			=== Subset ===
			Returns a subset of data from the passed data structure.

			This is particularly useful for data frames.
			# For example, we can create a data frame of employee ratings.
			names <- c("Bob", "Jim", "Johnny", "Sarah", "Sally")
			rating <- c(1, 2, 3, 4, 5)
			my_df = data.frame(names, rating)

			# Then we can get a subset of only employees with ratings greater than 3.
			subset(my_df, subset = rating > 3)

Brodriguez: Create data frame section

2020-05-31T03:57:10Z

Create data frame section

← Older revision		Revision as of 03:57, 31 May 2020
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	=== Data Frames ===		=== Data Frames ===
	Data Frames are a lot like [[#Matrices\|matrices]], except that they are specialized to handle data sets with various different data types within.		Data Frames are a lot like [[#Matrices\|matrices]], except that they are specialized to handle data sets with various different data types within.

			=== Declaring Data Frames ===
			# We can use data.frame() along with desired vectors.
			# Note that we can pass in as many or few vectors as we want.
			# Each passed vector becomes a column for the data frame,
			# so all passed vectors should be of the same size.
			data.frame(my_vector_1, my_vector_2, my_vector_3)

			=== Accessing Data Frame Values ===
			Data Frame values are accessed the same was as Matrix values. See [[#Accessing Matrix Values\|Accessing Matrix Values]] for more info.