lavaan partable functions
Utility functions related to the parameter table (partable)
# extract information from a parameter table lav_partable_df(partable) lav_partable_ndat(partable) lav_partable_npar(partable) lav_partable_attributes(partable, pta = NULL) # generate parameter labels lav_partable_labels(partable, blocks = c("group", "level"), group.equal = "", group.partial = "", type = "user") # generate parameter table for specific models lav_partable_independence(lavobject = NULL, lavdata = NULL, lavpta = NULL, lavoptions = NULL, lavsamplestats = NULL, lavh1 = NULL, sample.cov = NULL, sample.mean = NULL, sample.slopes = NULL, sample.th = NULL, sample.th.idx = NULL, sample.cov.x = NULL, sample.mean.x = NULL) lav_partable_unrestricted(lavobject = NULL, lavdata = NULL, lavpta = NULL, lavoptions = NULL, lavsamplestats = NULL, lavh1 = NULL, sample.cov = NULL, sample.mean = NULL, sample.slopes = NULL, sample.th = NULL, sample.th.idx = NULL, sample.cov.x = NULL, sample.mean.x = NULL) lav_partable_from_lm(object, est = FALSE, label = FALSE, as.data.frame. = FALSE) # complete a parameter table only containing a few columns (lhs,op,rhs) lav_partable_complete(partable = NULL, start = TRUE) # merge two parameter tables lav_partable_merge(pt1 = NULL, pt2 = NULL, remove.duplicated = FALSE, fromLast = FALSE, warn = TRUE) # add a single parameter to an existing parameter table lav_partable_add(partable = NULL, add = list())
partable |
A parameter table. see |
blocks |
Character vector. Which columns in the parameter table should be
taken to distinguish between different blocks of parameters (and hence
be given different labels)? If |
group.equal |
The same options can be used here as in the fitting functions. Parameters that are constrained to be equal across groups will be given the same label. |
group.partial |
A vector of character strings containing the labels of the parameters which should be free in all groups. |
type |
Character string. Can be either ‘user’ or ‘free’ to select all entries or only the free parameters from the parameter table respectively. |
lavobject |
An object of class ‘lavaan’. If this argument is provided, it should be the only argument. All the values for the other arguments are extracted from this object. |
lavdata |
An object of class ‘lavData’. The Data slot from a lavaan object. |
lavoptions |
A named list. The Options lsot from a lavaan object. |
lavsamplestats |
An object of class ‘lavSampleStats’. The SampleStats slot from a lavaan object. |
lavh1 |
A named list. The h1 slot from a lavaan object. |
lavpta |
The pta (parameter table attributes) slot from a lavaan object. |
sample.cov |
Optional list of numeric matrices. Each list element contains a sample variance-covariance matrix for this group. If provided, these values will be used as starting values. |
sample.mean |
Optional list of numeric vectors. Each list element contains a sample mean vector for this group. If provided, these values will be used as starting values. |
sample.slopes |
Optional list of numeric matrices.
Each list element contains the sample slopes for this group (only used
when |
sample.th |
Optional list of numeric vectors. Each list element contains a vector of sample thresholds for this group. If provided (and also sample.th.idx is provided), these values will be used as starting values. |
sample.th.idx |
Optional list of integers. Each list contains the threshold indices for this group. |
sample.cov.x |
Optional list of numeric matrices. Each list element
contains a sample variance-covariance matrix for the exogenous variables
for this group (only used when |
sample.mean.x |
Optional list of numeric vectors.
Each list element contains a sample mean vector for the exogenous variables
for this group (only used when |
est |
Logical. If TRUE, include the fitted estimates in the parameter table. |
label |
Logical. If TRUE, include parameter labels in the parameter table. |
as.data.frame. |
Logical. If TRUE, return the parameter table as a data.frame. |
object |
An object of class |
start |
Logical. If TRUE, include a start column, based on the simple method for generating starting values. |
pta |
A list containing parameter attributes. |
pt1 |
A parameter table. |
pt2 |
A parameter table. |
remove.duplicated |
Logical. If |
fromLast |
Logical. If |
warn |
Logical. If codeTRUE, a warning is produced when duplicated elements are found, when merging two parameter tables. |
add |
A named list. |
A single row of a parameter table as a named list.
# generate syntax for an independence model HS.model <- ' visual =~ x1 + x2 + x3 textual =~ x4 + x5 + x6 speed =~ x7 + x8 + x9 ' fit <- cfa(HS.model, data=HolzingerSwineford1939) lav <- lav_partable_independence(fit) as.data.frame(lav, stringsAsFactors = FALSE) # how many free parameters? lav_partable_npar(lav) # how many sample statistics? lav_partable_ndat(lav)
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