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=========
Emulate R
=========
c()
===
Agate's :meth:`.Table.select` and :meth:`.Table.exclude` are the equivalent of R's :code:`c` for selecting columns.
R:
.. code-block:: r
selected <- data[c("last_name", "first_name", "age")]
excluded <- data[!c("last_name", "first_name", "age")]
agate:
.. code-block:: python
selected = table.select(['last_name', 'first_name', 'age'])
excluded = table.exclude(['last_name', 'first_name', 'age'])
subset
======
Agate's :meth:`.Table.where` is the equivalent of R's :code:`subset`.
R:
.. code-block:: r
newdata <- subset(data, age >= 20 | age < 10)
agate:
.. code-block:: python
new_table = table.where(lambda row: row['age'] >= 20 or row['age'] < 10)
order
=====
Agate's :meth:`.Table.order_by` is the equivalent of R's :code:`order`.
R:
.. code-block:: r
newdata <- employees[order(last_name),]
agate:
.. code-block:: python
new_table = employees.order_by('last_name')
merge
=====
Agate's :meth:`.Table.join` is the equivalent of R's :code:`merge`.
R:
.. code-block:: r
joined <- merge(employees, states, by="usps")
agate:
.. code-block:: python
joined = employees.join(states, 'usps')
rbind
=====
Agate's :meth:`.Table.merge` is the equivalent of R's :code:`rbind`.
R:
.. code-block:: r
merged <- rbind(first_year, second_year)
agate:
.. code-block:: python
merged = agate.Table.merge(first_year, second_year)
aggregate
=========
Agate's :meth:`.Table.group_by` and :meth:`.TableSet.aggregate` can be used to recreate the functionality of R's :code:`aggregate`.
R:
.. code-block:: r
aggregates = aggregate(employees$salary, list(job = employees$job), mean)
agate:
.. code-block:: python
jobs = employees.group_by('job')
aggregates = jobs.aggregate([
('mean', agate.Mean('salary'))
])
melt
====
Agate's :meth:`.Table.normalize` is the equivalent of R's :code:`melt`.
R:
.. code-block:: r
melt(employees, id=c("last_name", "first_name"))
agate:
.. code-block:: python
employees.normalize(['last_name', 'first_name'])
cast
====
Agate's :meth:`.Table.denormalize` is the equivalent of R's :code:`cast`.
R:
.. code-block:: r
melted = melt(employees, id=c("name"))
casted = cast(melted, name~variable, mean)
agate:
.. code-block:: python
normalized = employees.normalize(['name'])
denormalized = normalized.denormalize('name')
|
