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
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
.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. |
---|---|
.. | < The value can be:
|
.keep | This is an experimental argument that allows you to control which columnsfrom
Grouping variables are always kept, unconditional to |
.before, .after | < |
Value
An object of the same type as .data
. The output has the followingproperties:
Tidyr Cheat Sheet
Rows are not affected.
Existing columns will be preserved according to the
.keep
argument.New columns will be placed according to the.before
and.after
arguments. If.keep = 'none'
(as intransmute()
), the output orderis determined only by..
, not the order of existing columns.Columns given value
NULL
will be removedGroups will be recomputed if a grouping variable is mutated.
Data frame attributes are preserved.
Useful mutate functions
+
,-
,log()
, etc., for their usual mathematical meaningslead()
,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 tibbles
Because 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 Sheet
With the grouped equivalent:
The former normalises mass
by the global average whereas thelatter normalises by the averages within species levels.
Methods
These 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 also
Other single table verbs: arrange()
,filter()
,rename()
,select()
,slice()
,summarise()
Examples
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 Mutate
Arguments
Tidyr Cheat Sheet
.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. |
---|---|
.. | < The value can be:
|
.keep | This is an experimental argument that allows you to control which columnsfrom
Grouping variables are always kept, unconditional to |
.before, .after | < |
Value
An object of the same type as .data
. The output has the followingproperties:
Tidyr Cheat Sheet
Rows are not affected.
Existing columns will be preserved according to the
.keep
argument.New columns will be placed according to the.before
and.after
arguments. If.keep = 'none'
(as intransmute()
), the output orderis determined only by..
, not the order of existing columns.Columns given value
NULL
will be removedGroups will be recomputed if a grouping variable is mutated.
Data frame attributes are preserved.
Useful mutate functions
+
,-
,log()
, etc., for their usual mathematical meaningslead()
,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 tibbles
Because 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 Sheet
With the grouped equivalent:
The former normalises mass
by the global average whereas thelatter normalises by the averages within species levels.
Methods
These 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 also
Other single table verbs: arrange()
,filter()
,rename()
,select()
,slice()
,summarise()
Examples
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 Mutate
Arguments
Tidyr Cheat Sheet
data | A data frame to pivot. |
---|---|
cols | < |
names_to | A string specifying the name of the column to createfrom the data stored in the column names of Can be a character vector, creating multiple columns, if 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.
|
names_prefix | A regular expression used to remove matching textfrom the start of each variable name. |
names_sep, names_pattern | If
If these arguments do not give you enough control, use |
names_ptypes, values_ptypes | A list of column name-prototype pairs.A prototype (or ptype for short) is a zero-length vector (like |
names_transform, values_transform | A list of column name-function pairs.Use these arguments if you need to change the types of specific columns.For example, If not specified, the type of the columns generated from |
names_repair | What happens if the output has invalid column names?The default, |
values_to | A string specifying the name of the column to createfrom the data stored in cell values. If |
values_drop_na | If |
.. | Additional arguments passed on to methods. |
Details
pivot_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.