Tidyr Cheatsheet

Tidyr Cheatsheet

Tidyr::nest(data.,.key = data) For grouped data, moves groups into cells as data frames. Unnest a nested data frame with unnest: Species data setos versi virgini Species S.L S.W P.L P.W setosa 5.1 3.5 1.4 0.2 setosa 4.9 3.0 1.4 0.2 setosa 4.7 3.2 1.3 0.2 setosa 4.6 3.1 1.5 0.2 versi 7.0 3.2. Mutate adds new variables and preserves existing ones; transmute adds new variables and drops existing ones. New variables overwrite existing variables of the same name. Variables can be removed by setting their value to NULL. Tidyr supersedes reshape2 (2010-2014) and reshape (2005-2010). Somewhat counterintuitively, each iteration of the package has done less. Tidyr is designed specifically for tidying data, not general reshaping (reshape2), or the general aggregation (reshape). Data.table provides high-performance implementations of melt  and dcast. Now, DataCamp has created a tidyverse cheat sheet for beginners that have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started on discovering this popular collection of packages. You must have already run into packages such as ggplot2.
Tidyr Cheat Sheet
R Dataframe Cheat Sheet
Tidyr Cheat Sheet Mutate
Tidyr Cheat Sheet
Tidyr Cheat Sheet Pdf
Source: R/mutate.R
mutate() adds new variables and preserves existing ones;transmute() adds new variables and drops existing ones.New variables overwrite existing variables of the same name.Variables can be removed by setting their value to NULL.
Arguments

.dataA data frame, data frame extension (e.g. a tibble), or alazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, formore details.
..<data-masking> Name-value pairs.The name gives the name of the column in the output.
The value can be:
A vector of length 1, which will be recycled to the correct length.
A vector the same length as the current group (or the whole data frameif ungrouped).
NULL, to remove the column.
A data frame or tibble, to create multiple columns in the output.
.keepThis is an experimental argument that allows you to control which columnsfrom .data are retained in the output:
Vlad slick bartender net worth. 'all', the default, retains all variables.
'used' keeps any variables used to make new variables; it's usefulfor checking your work as it displays inputs and outputs side-by-side.
'unused' keeps only existing variables not used to make newvariables.
'none', only keeps grouping keys (like transmute()).
Grouping variables are always kept, unconditional to .keep.
.before, .after<tidy-select> Optionally, control where new columnsshould appear (the default is to add to the right hand side). Seerelocate() for more details.
ValueAn object of the same type as .data. The output has the followingproperties:
Tidyr Cheat SheetRows are not affected.
Existing columns will be preserved according to the .keep argument.New columns will be placed according to the .before and .afterarguments. If .keep = 'none' (as in transmute()), the output orderis determined only by .., not the order of existing columns.
Columns given value NULL will be removed
Groups will be recomputed if a grouping variable is mutated.
Data frame attributes are preserved.
Useful mutate functions+, -, log(), etc., for their usual mathematical meanings
lead(), lag()
dense_rank(), min_rank(), percent_rank(), row_number(),cume_dist(), ntile()
cumsum(), cummean(), cummin(), cummax(), cumany(), cumall()
na_if(), coalesce()
if_else(), recode(), case_when()
Grouped tibblesBecause mutating expressions are computed within groups, they mayyield different results on grouped tibbles. This will be the caseas soon as an aggregating, lagging, or ranking function isinvolved. Compare this ungrouped mutate:
R Dataframe Cheat SheetWith the grouped equivalent:
The former normalises mass by the global average whereas thelatter normalises by the averages within species levels.
MethodsThese function are generics, which means that packages can provideimplementations (methods) for other classes. See the documentation ofindividual methods for extra arguments and differences in behaviour.
Methods available in currently loaded packages:
mutate(): dbplyr (tbl_lazy), dplyr (data.frame).
transmute(): dbplyr (tbl_lazy), dplyr (data.frame).
See alsoOther single table verbs: arrange(),filter(),rename(),select(),slice(),summarise()
ExamplesSource: R/pivot-long.R
pivot_longer() 'lengthens' data, increasing the number of rows anddecreasing the number of columns. The inverse transformation ispivot_wider()
Learn more in vignette('pivot').
Tidyr Cheat Sheet MutateArgumentsTidyr Cheat SheetdataA data frame to pivot.
cols<tidy-select> Columns to pivot intolonger format.
names_toA string specifying the name of the column to createfrom the data stored in the column names of data.
Can be a character vector, creating multiple columns, if names_sepor names_pattern is provided. In this case, there are two specialvalues you can take advantage of:
MediaTek Helio G90 Series. MediaTek Helio G90 Series. Skip to main content.in. Hello Select your address All Hello, Sign in. Smartphones with MediaTek Helio G80 processor. List of smartphones that works with MediaTek Helio G80 processor inside. Rugged Phone Unlocked DOOGEE S96 Pro 8GB+128GB Infrared Night Vision Helio G90 Octa Core Waterproof Android Phone, 48MP+20MP, 6.22' + Global 4G LTE GSM AT&T T-Mobile Dual SIM Phone 6350mAh（Black） $389.99. 

.data	A data frame, data frame extension (e.g. a tibble), or alazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, formore details.
..	<`data-masking`> Name-value pairs.The name gives the name of the column in the output. The value can be: A vector of length 1, which will be recycled to the correct length. A vector the same length as the current group (or the whole data frameif ungrouped). `NULL`, to remove the column. A data frame or tibble, to create multiple columns in the output.
.keep	This is an experimental argument that allows you to control which columnsfrom `.data` are retained in the output: Vlad slick bartender net worth. `'all'`, the default, retains all variables. `'used'` keeps any variables used to make new variables; it's usefulfor checking your work as it displays inputs and outputs side-by-side. `'unused'` keeps only existing variables not used to make newvariables. `'none'`, only keeps grouping keys (like `transmute()`). Grouping variables are always kept, unconditional to `.keep`.
.before, .after	<`tidy-select`> Optionally, control where new columnsshould appear (the default is to add to the right hand side). See`relocate()` for more details.

data	A data frame to pivot.
cols	<`tidy-select`> Columns to pivot intolonger format.
names_to	A string specifying the name of the column to createfrom the data stored in the column names of `data`. Can be a character vector, creating multiple columns, if `names_sep`or `names_pattern` is provided. In this case, there are two specialvalues you can take advantage of: MediaTek Helio G90 Series. MediaTek Helio G90 Series. Skip to main content.in. Hello Select your address All Hello, Sign in. Smartphones with MediaTek Helio G80 processor. List of smartphones that works with MediaTek Helio G80 processor inside. Rugged Phone Unlocked DOOGEE S96 Pro 8GB+128GB Infrared Night Vision Helio G90 Octa Core Waterproof Android Phone, 48MP+20MP, 6.22' + Global 4G LTE GSM AT&T T-Mobile Dual SIM Phone 6350mAh（Black） $389.99.

.dataA data frame, data frame extension (e.g. a tibble), or alazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, formore details.
..<data-masking> Name-value pairs.The name gives the name of the column in the output.
The value can be:
A vector of length 1, which will be recycled to the correct length.
A vector the same length as the current group (or the whole data frameif ungrouped).
NULL, to remove the column.
A data frame or tibble, to create multiple columns in the output.
.keepThis is an experimental argument that allows you to control which columnsfrom .data are retained in the output:
Vlad slick bartender net worth. 'all', the default, retains all variables.
'used' keeps any variables used to make new variables; it's usefulfor checking your work as it displays inputs and outputs side-by-side.
'unused' keeps only existing variables not used to make newvariables.
'none', only keeps grouping keys (like transmute()).
Grouping variables are always kept, unconditional to .keep.
.before, .after<tidy-select> Optionally, control where new columnsshould appear (the default is to add to the right hand side). Seerelocate() for more details.
ValueAn object of the same type as .data. The output has the followingproperties:
Tidyr Cheat SheetRows are not affected.
Existing columns will be preserved according to the .keep argument.New columns will be placed according to the .before and .afterarguments. If .keep = 'none' (as in transmute()), the output orderis determined only by .., not the order of existing columns.
Columns given value NULL will be removed
Groups will be recomputed if a grouping variable is mutated.
Data frame attributes are preserved.
Useful mutate functions+, -, log(), etc., for their usual mathematical meanings
lead(), lag()
dense_rank(), min_rank(), percent_rank(), row_number(),cume_dist(), ntile()
cumsum(), cummean(), cummin(), cummax(), cumany(), cumall()
na_if(), coalesce()
if_else(), recode(), case_when()
Grouped tibblesBecause mutating expressions are computed within groups, they mayyield different results on grouped tibbles. This will be the caseas soon as an aggregating, lagging, or ranking function isinvolved. Compare this ungrouped mutate:
R Dataframe Cheat SheetWith the grouped equivalent:
The former normalises mass by the global average whereas thelatter normalises by the averages within species levels.
MethodsThese function are generics, which means that packages can provideimplementations (methods) for other classes. See the documentation ofindividual methods for extra arguments and differences in behaviour.
Methods available in currently loaded packages:
mutate(): dbplyr (tbl_lazy), dplyr (data.frame).
transmute(): dbplyr (tbl_lazy), dplyr (data.frame).
See alsoOther single table verbs: arrange(),filter(),rename(),select(),slice(),summarise()
ExamplesSource: R/pivot-long.R
pivot_longer() 'lengthens' data, increasing the number of rows anddecreasing the number of columns. The inverse transformation ispivot_wider()
Learn more in vignette('pivot').
Tidyr Cheat Sheet MutateArgumentsTidyr Cheat SheetdataA data frame to pivot.
cols<tidy-select> Columns to pivot intolonger format.
names_toA string specifying the name of the column to createfrom the data stored in the column names of data.
Can be a character vector, creating multiple columns, if names_sepor names_pattern is provided. In this case, there are two specialvalues you can take advantage of:
MediaTek Helio G90 Series. MediaTek Helio G90 Series. Skip to main content.in. Hello Select your address All Hello, Sign in. Smartphones with MediaTek Helio G80 processor. List of smartphones that works with MediaTek Helio G80 processor inside. Rugged Phone Unlocked DOOGEE S96 Pro 8GB+128GB Infrared Night Vision Helio G90 Octa Core Waterproof Android Phone, 48MP+20MP, 6.22' + Global 4G LTE GSM AT&T T-Mobile Dual SIM Phone 6350mAh（Black） $389.99.  DOOGEE S96 Pro for sale, Global Version IP68 Waterproof 8GB+128GB 48MP Round Quad Camera 20MP Infrared Night Vision Helio G90 Octa Core 6350mAh Rugged Phone Rated 5.00 out of 5 $ 589.99 $ 338.99. The G90 series is not just for gamers, it's is the first chip to bring the latest 64MP 1 4-cell sensor cameras into your hand, so you can capture incredibly detailed photos or use our quad-pixel technology to take night-shots with the best low-light performance ever.
NA will discard that component of the name.
.value indicates that component of the name defines the name of thecolumn containing the cell values, overriding values_to.
names_prefixA regular expression used to remove matching textfrom the start of each variable name.
names_sep, names_patternIf names_to contains multiple values,these arguments control how the column name is broken up.
names_sep takes the same specification as separate(), and can eitherbe a numeric vector (specifying positions to break on), or a single string(specifying a regular expression to split on).
names_pattern takes the same specification as extract(), a regularexpression containing matching groups (()).
If these arguments do not give you enough control, usepivot_longer_spec() to create a spec object and process manually asneeded.
names_ptypes, values_ptypesA list of column name-prototype pairs.A prototype (or ptype for short) is a zero-length vector (like integer()or numeric()) that defines the type, class, and attributes of a vector.Use these arguments if you want to confirm that the created columns arethe types that you expect. Note that if you want to change (instead of confirm)the types of specific columns, you should use names_transform orvalues_transform instead.
names_transform, values_transformA list of column name-function pairs.Use these arguments if you need to change the types of specific columns.For example, names_transform = list(week = as.integer) would converta character variable called week to an integer.
If not specified, the type of the columns generated from names_to willbe character, and the type of the variables generated from values_towill be the common type of the input columns used to generate them.
names_repairWhat happens if the output has invalid column names?The default, 'check_unique' is to error if the columns are duplicated.Use 'minimal' to allow duplicates in the output, or 'unique' tode-duplicated by adding numeric suffixes. See vctrs::vec_as_names() Famous mixologist. for more options.
values_toA string specifying the name of the column to createfrom the data stored in cell values. If names_to is a charactercontaining the special .value sentinel, this value will be ignored,and the name of the value column will be derived from part of theexisting column names.
values_drop_naIf TRUE, will drop rows that contain only NAsin the value_to column. This effectively converts explicit missing valuesto implicit missing values, and should generally be used only when missingvalues in data were created by its structure.
..Additional arguments passed on to methods.
Detailspivot_longer() is an updated approach to gather(), designed to be bothsimpler to use and to handle more use cases. We recommend you usepivot_longer() for new code; gather() isn't going away but is no longerunder active development.
Tidyr Cheat Sheet PdfExamples