add_layer | R Documentation |
tplyr_table
objectadd_layer
attaches a tplyr_layer
to a tplyr_table
object. This allows
for a tidy style of programming (using magrittr
piping, i.e. %>%
) with a
secondary advantage - the construction of the layer object may consist of a series of piped
functions itself.
Tplyr
encourages a user to view the construction of a table as a series of "layers".
The construction of each of these layers are isolated and independent of one another - but
each of these layers are children of the table itself. add_layer
isolates the construction
of an individual layer and allows the user to construct that layer and insert it back into the
parent. The syntax for this is intuitive and allows for tidy piping. Simply pipe the current
table object in, and write the code to construct your layer within the layer
parameter.
add_layers
is another approach to attaching layers to a tplyr_table
. Instead of
constructing the entire table at once, add_layers
allows you to construct layers as
different objects. These layers can then be attached into the tplyr_table
all at
once.
add_layer
and add_layers
both additionally allow you to name the layers as you
attach them. This is helpful when using functions like get_numeric_data
or
get_stats_data
when you can access information from a layer directly.
add_layer
has a name parameter, and layers can be named in add_layers
by
submitting the layer as a named argument.
add_layer(parent, layer, name = NULL)
add_layers(parent, ...)
parent |
A |
layer |
A layer construction function and associated modifier functions |
name |
A name to provide the layer in the table layers container |
... |
Layers to be added |
A tplyr_table
or tplyr_layer
/tplyr_subgroup_layer
with a new layer inserted into the layer
binding
[tplyr_table(), tplyr_layer(), group_count(), group_desc(), group_shift()]
# Load in pipe
library(magrittr)
## Single layer
t <- tplyr_table(mtcars, cyl) %>%
add_layer(
group_desc(target_var=mpg)
)
## Single layer with name
t <- tplyr_table(mtcars, cyl) %>%
add_layer(name='mpg',
group_desc(target_var=mpg)
)
# Using add_layers
t <- tplyr_table(mtcars, cyl)
l1 <- group_desc(t, target_var=mpg)
l2 <- group_count(t, target_var=cyl)
t <- add_layers(t, l1, 'cyl' = l2)
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