index: Visualize Static Data Relationships
In anniejw6/metrumrg: Pharmacometric Tools for Data Preparation, Modeling, Simulation, and Reporting
Description
Usage
Arguments
Details
Value
Author(s)
References
See Also
Examples
Description
Cascading diagnostic plotting for data frames and data digests.
Usage
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## S3 method for class 'digest'
as.conditioned(x, ...)
## S3 method for class 'isolated'
as.conditioned(x, ...)
## S3 method for class 'keyed'
as.conditioned(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
as.isolated(x, ...)
## S3 method for class 'isolated'
as.isolated(x, ...)
## S3 method for class 'keyed'
as.isolated(x, ...)
## S3 method for class 'digest'
as.motif(x, ...)
## S3 method for class 'keyed'
as.motif(x, ...)
## S3 method for class 'motif'
as.motif(x, ...)
## S3 method for class 'nm'
as.motif(x, ...)
## S3 method for class 'digest'
as.roles(x, ...)
## S3 method for class 'keyed'
as.roles(x, motif = as.motif(x), ...)
## S3 method for class 'conditioned'
index(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
index(x, motif = as.motif(x), roles = as.roles(x, motif = motif), ...)
## S3 method for class 'isolated'
index(x, roles = as.roles(x), ...)
## S3 method for class 'keyed'
index(x, roles = as.roles(x), ...)
## S3 method for class 'nm'
index(x, density = 20, ...)
## S3 method for class 'conditioned'
plot(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
plot(x, motif = as.motif(x), roles = as.roles(x, motif = motif), ...)
## S3 method for class 'isolated'
plot(x, ...)
## S3 method for class 'keyed'
plot(x, roles = as.roles(x), ...)
## S3 method for class 'conditioned'
splom(
x,
data=NULL,
roles = as.roles(x),
main = "",
xlab = "",
pscales = 0,
...
)
## S3 method for class 'digest'
splom(
x,
data=NULL,
motif = as.motif(x),
roles = as.roles(x, motif = motif),
main = "", xlab = "",
pscales = 0,
...
)
## S3 method for class 'keyed'
splom(x, data=NULL, roles = as.roles(x), ...)
legacy(x, ...)
legacy(x) <- value
## S3 method for class 'legacy'
format(x,...)
Arguments
x
object of dispatch
roles
named character vector with elements x, y, and z indicating columns to use for axes or for grouping
motif
a list with elements x, y, and z (optional), each of which are character vectors of column names in x, prioritizing alternative usage for plotting
density
integer: how many levels of x to include per panel
main
not passed to splom
data
not passed to splom
xlab
not passed to splom
pscales
not passed to splom
value
assigned to the legacy attribute of x
...
extra arguments passed to other methods
Details
This is an experimental system for generating diagnostic plots. It was designed to
work with the result of digest, but can also work with data frames and
keyed data frames, etc.
as.conditioned resolves
a digest into a longer list of data frames (class conditioned), each of which
contain only single levels of key columns not mentioned in roles.
as.isolated operates on conditioned or unconditioned keyed data frames,
returning a list (class isolated) of data frames each having exactly one
non-key column. Default methods are defined for making index plots and scatterplot
matrices of objects of class digest, conditioned, isolated, and keyed. The plot
methods currently plot both.
For purposes of plotting and conditioning, it is necessary to specify the roles
of the columns. A roles object is a named vector with elements x, y, and z.
Typically, y is a dependent variable, x is an independent variable, and z is a
grouping variable (optional). y may be specified as '.', in which case it represents
the non-key variable in context.
When plotting an entire digest all at once, it would be tedious to specify, in
advance, roles for every resulting view of the data. A motif is a general
strategy for assigning roles. Unlike roles, it is a list. Like roles,
it has elements x, y, and (optional) z. Each of these is a character vector
of column names, typically consisting only of key columns and '.'. Order is
important: supporting functions assign x, y, and z in the order given, removing
any assigned columns from consideration in later assignments. For example, time
may be appropriate as x where available, and a subject identifier could be the
alternative: motif=list(y='.',x=c('time','id')). Methods exist for creating
default motifs for a variety of objects. These are converted to roles in context.
The following are generic:
as.motif,
as.conditioned,
index,
as.roles,
as.isolated.
motif and
roles
are aliases for
their as. counterparts.
Value
as.conditioned returns a list of objects each with class conditioned, keyed, data.frame.
as.isolated returns a list of objects each with class isolated, conditioned, keyed, data.frame.
as.motif and motif return an object of class motif with optional elements x, y, and z.
as.roles and roles return a named character vector, mapping column usage to roles x, y, and z.
plot, splom, and index return lists of trellis objects, possibly with deep nesting.
plot.digest gives a list with each element having members splom and index.
legacy returns named character; format.legacy returns character. The assignment version of
legacy requires named character and causes it to be appended to the legacy attribute of the object.
Author(s)
Tim Bergsma
References
http://metrumrg.googlecode.com
See Also
-
as.keyed
-
static
-
digest
Examples
1
2
3
anniejw6/metrumrg documentation built on May 10, 2019, 11:50 a.m.
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Description Usage Arguments Details Value Author(s) References See Also Examples
Description
Cascading diagnostic plotting for data frames and data digests.
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | ## S3 method for class 'digest'
as.conditioned(x, ...)
## S3 method for class 'isolated'
as.conditioned(x, ...)
## S3 method for class 'keyed'
as.conditioned(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
as.isolated(x, ...)
## S3 method for class 'isolated'
as.isolated(x, ...)
## S3 method for class 'keyed'
as.isolated(x, ...)
## S3 method for class 'digest'
as.motif(x, ...)
## S3 method for class 'keyed'
as.motif(x, ...)
## S3 method for class 'motif'
as.motif(x, ...)
## S3 method for class 'nm'
as.motif(x, ...)
## S3 method for class 'digest'
as.roles(x, ...)
## S3 method for class 'keyed'
as.roles(x, motif = as.motif(x), ...)
## S3 method for class 'conditioned'
index(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
index(x, motif = as.motif(x), roles = as.roles(x, motif = motif), ...)
## S3 method for class 'isolated'
index(x, roles = as.roles(x), ...)
## S3 method for class 'keyed'
index(x, roles = as.roles(x), ...)
## S3 method for class 'nm'
index(x, density = 20, ...)
## S3 method for class 'conditioned'
plot(x, roles = as.roles(x), ...)
## S3 method for class 'digest'
plot(x, motif = as.motif(x), roles = as.roles(x, motif = motif), ...)
## S3 method for class 'isolated'
plot(x, ...)
## S3 method for class 'keyed'
plot(x, roles = as.roles(x), ...)
## S3 method for class 'conditioned'
splom(
x,
data=NULL,
roles = as.roles(x),
main = "",
xlab = "",
pscales = 0,
...
)
## S3 method for class 'digest'
splom(
x,
data=NULL,
motif = as.motif(x),
roles = as.roles(x, motif = motif),
main = "", xlab = "",
pscales = 0,
...
)
## S3 method for class 'keyed'
splom(x, data=NULL, roles = as.roles(x), ...)
legacy(x, ...)
legacy(x) <- value
## S3 method for class 'legacy'
format(x,...)
|
Arguments
x |
object of dispatch |
roles |
named character vector with elements x, y, and z indicating columns to use for axes or for grouping |
motif |
a list with elements x, y, and z (optional), each of which are character vectors of column names in x, prioritizing alternative usage for plotting |
density |
integer: how many levels of x to include per panel |
main |
not passed to |
data |
not passed to |
xlab |
not passed to |
pscales |
not passed to |
value |
assigned to the legacy attribute of x |
... |
extra arguments passed to other methods |
Details
This is an experimental system for generating diagnostic plots. It was designed to
work with the result of digest, but can also work with data frames and
keyed data frames, etc.
as.conditioned resolves
a digest into a longer list of data frames (class conditioned), each of which
contain only single levels of key columns not mentioned in roles.
as.isolated operates on conditioned or unconditioned keyed data frames,
returning a list (class isolated) of data frames each having exactly one
non-key column. Default methods are defined for making index plots and scatterplot
matrices of objects of class digest, conditioned, isolated, and keyed. The plot
methods currently plot both.
For purposes of plotting and conditioning, it is necessary to specify the roles
of the columns. A roles object is a named vector with elements x, y, and z.
Typically, y is a dependent variable, x is an independent variable, and z is a
grouping variable (optional). y may be specified as '.', in which case it represents
the non-key variable in context.
When plotting an entire digest all at once, it would be tedious to specify, in
advance, roles for every resulting view of the data. A motif is a general
strategy for assigning roles. Unlike roles, it is a list. Like roles,
it has elements x, y, and (optional) z. Each of these is a character vector
of column names, typically consisting only of key columns and '.'. Order is
important: supporting functions assign x, y, and z in the order given, removing
any assigned columns from consideration in later assignments. For example, time
may be appropriate as x where available, and a subject identifier could be the
alternative: motif=list(y='.',x=c('time','id')). Methods exist for creating
default motifs for a variety of objects. These are converted to roles in context.
The following are generic:
as.motif,
as.conditioned,
index,
as.roles,
as.isolated.
motif and
roles
are aliases for
their as. counterparts.
Value
as.conditioned returns a list of objects each with class conditioned, keyed, data.frame.
as.isolated returns a list of objects each with class isolated, conditioned, keyed, data.frame.
as.motif and motif return an object of class motif with optional elements x, y, and z.
as.roles and roles return a named character vector, mapping column usage to roles x, y, and z.
plot, splom, and index return lists of trellis objects, possibly with deep nesting.
plot.digest gives a list with each element having members splom and index.
legacy returns named character; format.legacy returns character. The assignment version of
legacy requires named character and causes it to be appended to the legacy attribute of the object.
Author(s)
Tim Bergsma
References
http://metrumrg.googlecode.com
See Also
-
as.keyed -
static -
digest
Examples
1 2 3 |
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