semTable: Creates Structural Equation Modeling Tables
In semTable: Structural Equation Modeling Tables
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Creates LaTeX markup for structural equation modeling output
tables in the style of the American Psychological
Association(APA). Input objects should be created by the
"lavaan" package.
Usage
1
2
3
4
5
6
7
semTable(object, file = NULL, paramSets = "all", paramSetLabels,
columns = c(est = "Estimate", se = "SE", z = "z", p = "p"),
columnLabels, fits = c("chisq", "cfi", "tli", "rmsea"),
fitLabels = toupper(fits), varLabels = NULL, groups = NULL,
type = "latex", table.float = FALSE, caption = NULL,
label = NULL, longtable = FALSE, print.results = TRUE,
centering = "siunitx", alpha = c(0.05, 0.01, 0.001))
Arguments
object
A lavaan object (e.g., returned by cfa() or sem()),
or a named list of lavaan objects, e.g., list("Model A"
= obj1, "Model B" = obj2). Results will be displayed side by
side.
file
Base name for output file. This function will insert
suffix, either "tex", "html" and "csv".
paramSets
Parameter sets to be included for each fitted
object. Valid values of the vector are "all" or a any
of the following: c("composites", "loadings", "slopes",
"intercepts", "residualvariances", "residualcovariances",
"latentmeans", "latentvariances", "latentcovariances",
"thresholds", "constructed", "fits"). Default is "all", any
of the estimates present in the fitted model that are listed
in the previous sentence will be included in the output. For
the sake of simplicity, we now allow one vector here, which
applies to all models in the object list.
paramSetLabels
Named vector, used to supply alternative
pretty printing labels for parameter sets. The default values
are c("composites" = "Composites",
"loadings"= "Factor Loadings", "slopes" = "Regression Slopes",
"intercepts" = "Intercepts", "means"= "Means",
"residualvariances" = "Residual Variances",
"residualcovariances" = "Residual Covariances", "variances" =
"Variances", "latentvariances" = "Latent Variances",
"latentcovariances" = "Latent Covariances", "latentmeans" =
"Latent Intercepts", "thresholds" = "Thresholds",
"constructed" = "Constructed", "fits" = "Fit Indices"). The
paramSetLabels argument must be a named vector that overrides
some or all of the default names.
columns
A vector naming estimates to appear for each model.
The allowed columns are "est", "se", "z", "p", "rsquare",
"estse", "eststars", "estsestars". The first 5 have the usual
meanings, while "estse" (can also be written "est(se)")
displays as, for example "1.21(0.23)", and the last 2 are to
include "significance stars". "eststars" shows as
"1.21***" and "estsestars" (or "est(se)stars")
displays as "1.21(0.23)**". See parameter alpha. One
may request different columns for each model by providing a
named list of vectors. Use model names in the list,
list("Model A" = c("est", "se"), "Model B" = c("estse",
"p")).
columnLabels
A named vector of "pretty labels" for the
headings in the table. The default labels are c("est" =
"Estimate", se = "Std. Err.", z = "z", p = "p", rsquare =
"R Square", estse = "Estimate(Std.Err."), eststars =
"Estimate", estsestars = "Estimate(Std.Err.)").
fits
Summary indicators to be included. May be a list, one
for each model provided, otherwise the same fit indicators
will be presented for each model. Any of the fit indicators
provided by lavaan::fitMeasures(object) are allowed:
c("npar", "fmin", "chisq", "df", "pvalue",
"baseline.chisq", "baseline.df", "baseline.pvalue", "cfi",
"tli", "nnfi", "rfi", "nfi", "pnfi", "ifi", "rni", "logl",
"unrestricted.logl", "aic", "bic", "ntotal", "bic2", "rmsea",
"rmsea.ci.lower", "rmsea.ci.upper", "rmsea.pvalue", "rmr",
"rmr_nomean", "srmr", "srmr_bentler", "srmr_bentler_nomean",
"srmr_bollen", "srmr_bollen_nomean", "srmr_mplus",
"srmr_mplus_nomean", "cn_05", "cn_01", "gfi", "agfi", "pgfi",
"mfi", "ecvi"). The return for "chisq" will include markup
for degrees of freedom and p value. If user specifies
NULL, or if "fits" is excluded from paramSets,
all fit indicators are omitted.
fitLabels
Labels for some or all of the fit measures
requested by the fits parameter, e.g. c(rmsea =
"Root Mean Square Error of Approximation", cli = "CLI"). The
default labels are the upper-case fits names (except for
"chisq", where a Greek letter is supplied when possible).
varLabels
Named vector of labels to replace variable names
in column 1 of SEM table.
groups
All groups will be printed, unless a subset is
requested here. Estimates for all groups will be displayed
side by side. If ONLY SOME groups should be included, then
specify groups as either names of fit objects or as integers
for elements of the groups vector.
type
Choose "latex", "html", or "csv"
table.float
If TRUE, create a LaTeX floating table object
in which the tabular created here will reside. Default is
FALSE.
caption
Caption for table (if table.float=TRUE) or
longtable output. Ignored otherwise.
label
LaTeX label for this object (for
cross-references). Only used if table.float = TRUE or
longtable = TRUE.
longtable
If TRUE, use longtable for LaTeX
documents. Default is FALSE. If true, table.float
argument is ignored.
print.results
If TRUE, marked up result will be displayed
within the session. Otherwise, result is returned silently and
user can use cat to dislay it. Don't use print
because it inserts unwanted decorations.
centering
Default "siunitx". For method used in previous
editions, replace with "none".
alpha
Thresholds for p-values that determine number of
stars. Defaults as c(0.05, 0.01, 0.001) for
c("*", "**", "***").
Details
The argument paramSets determines the inclusion of estimate sections.
One can specify "all", which means that all types of parameters that
we can find in the fitted model are presented. Otherwise, a subset
of parameter sets can be chosen by the user.
"composites" are predictor coefficients in formative constructs
"loadings" are the factor loadings in the model.
"slopes" are the regression slopes in the model.
"intercepts" are the estimated constants in the measurement
models.
"residualvariances" are the observed variable residual variances.
"residualcovariances" are the observed covariances among
residuals of observed variables.
"latentvariances" are the variances of unobserved variables.
"latentcovariances" are the covariances between unobserved variables.
"latentmeans" are means of unobserved variables
"thresholds" arise in latent
response variates (non-numeric indicator data).
"constructed" are parameters that are calculated from a formula
in the model specification, such as an indirect path c=a*b.
"fits" the summary indicators of the mismatch between
the theoretical and observed covariance matrices, such as
RMSEA, CLI, TFI. While the fits are not technically parameters, they
are displayed in the same block style as parameters
The columns parameter is used to specify different columns,
while columnLabels will alter the displayed labels for them.
Value
Markup for SEM table. Includes an attribute
"markedResults", which can be converted to other markup
formats by the function markupConvert.
Author(s)
Ben Kite <bakite@ku.edu> Paul Johnson <pauljohn@ku.edu>
Examples
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
## Most of the examples were moved to the semTable vignette
require(lavaan)
tempdir <- tempdir()
## The example from lavaan's docs
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9'
fit1 <- cfa(HS.model, data = HolzingerSwineford1939,
std.lv = TRUE, meanstructure = TRUE)
## Try a LaTeX file first
fit1.t1 <- semTable(fit1, columns = c("estse", "p"),
fits = c("chisq", "rmsea"), file = file.path(tempdir, "fit1.t1"),
varLabels = c("x1" = "hello"), type = "latex", print.results = FALSE)
## If you have a working version of pdflatex in your system path,
if (interactive()) testtable("fit1.t1.tex", tempdir)
model <- "factor =~ .7*y1 + .7*y2 + .7*y3 + .7*y4
y1 | -1*t1 + 1*t2
y2 | -.5*t1 + 1*t2
y3 | -.2*t1 + 1*t2
y4 | -1*t1 + 1*t2"
dat <- simulateData(model, sample.nobs = 300)
testmodel <- "ExampleFactor =~ y1 + y2 + y3 + y4"
fit4 <- cfa(testmodel, data = dat, ordered = colnames(dat),
std.lv = FALSE)
fit4.t1 <- semTable(fit4, paramSets = c("loadings", "thresholds",
"residualvariances"), fits = c("tli", "chisq"),
fitLabels = c(tli = "TLI", chisq = "chisq"), type = "html",
file=file.path(tempdir, "fit4.t1") )
if(interactive()) browseURL(attr(fit4.t1, "file"))
fit4.t2 <- semTable(fit4, fits = c("rmsea", "cfi", "chisq"),
fitLabels = c(rmsea = "Root M.SQ.E.A", cfi = "CompFitIdx", chisq = "chisq"),
type = "latex", file=file.path(tempdir, "fit4.t2"))
if (interactive()) testtable("fit4.t2.tex", tempdir)
Example output
Loading required package: lavaan
This is lavaan 0.6-7
lavaan is BETA software! Please report any bugs.
<table style="padding-right:20px;padding-left:20px;">
<tr><td></td><td colspan = '4'; align = 'center'>Model</td></tr>
<tr><td></td><td colspan = '1'; align = 'center'>Estimate</td><td colspan = '1'; align = 'center'>Std. Err.</td><td colspan = '1'; align = 'center'>z</td><td colspan = '1'; align = 'center'>p</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Factor Loadings</span></td></tr> <tr><td colspan = '1'; align = 'left'><span style="text-decoration: underline;">ExampleFactor</span></td></tr>
<tr><td>y1</td><td>1.00<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y2</td><td>0.83</td><td>0.12</td><td>6.96</td><td>.000</td></tr>
<tr><td>y3</td><td>1.02</td><td>0.11</td><td>9.53</td><td>.000</td></tr>
<tr><td>y4</td><td>1.00</td><td>0.12</td><td>8.58</td><td>.000</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Residual Variances</span></td></tr>
<tr><td>y1</td><td>0.50<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y2</td><td>0.66<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y3</td><td>0.48<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y4</td><td>0.50<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Thresholds</span></td></tr>
<tr><td>y1(1)</td><td>-0.94</td><td>0.09</td><td>-11.01</td><td>.000</td></tr>
<tr><td>y1(2)</td><td>1.04</td><td>0.09</td><td>11.70</td><td>.000</td></tr>
<tr><td>y2(1)</td><td>-0.51</td><td>0.08</td><td>-6.77</td><td>.000</td></tr>
<tr><td>y2(2)</td><td>1.04</td><td>0.09</td><td>11.70</td><td>.000</td></tr>
<tr><td>y3(1)</td><td>-0.25</td><td>0.07</td><td>-3.45</td><td>.001</td></tr>
<tr><td>y3(2)</td><td>1.05</td><td>0.09</td><td>11.80</td><td>.000</td></tr>
<tr><td>y4(1)</td><td>-0.99</td><td>0.09</td><td>-11.41</td><td>.000</td></tr>
<tr><td>y4(2)</td><td>1.07</td><td>0.09</td><td>11.89</td><td>.000</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Fit Indices</span></td></tr>
<tr><td>TLI</td><td>1.02</td><td></td><td></td><td></td></tr>
<tr><td>chisq</td><td>0.03</td><td></td><td></td><td></td></tr>
<tr><td>Scaled χ<sup>2</sup></td><td>0.07(2)</td><td></td><td></td><td>.966</td></tr>
<tr><td colspan = '5'; align = 'left'><sup>+</sup>Fixed parameter</td></tr>
</table><br>
\begin{tabular}{@{}r*{4}{S[
input-symbols = ( ) +,
group-digits = false,
table-number-alignment = center,
%table-space-text-pre = (,
table-align-text-pre = false,
table-align-text-post = false,
table-space-text-post = {***},
parse-units = false]}@{}}
& \multicolumn{4}{c}{Model}\tabularnewline \hline
& \multicolumn{1}{c}{Estimate}& \multicolumn{1}{c}{Std. Err.}& \multicolumn{1}{c}{z}& \multicolumn{1}{c}{p}\tabularnewline\hline
& \multicolumn{4}{c}{\underline{Factor Loadings}}\tabularnewline \multicolumn{1}{l}{\underline{ExampleFactor}}\tabularnewline
y1& 1.00$^+$& & & \tabularnewline
y2& 0.83& 0.12& 6.96& .000\tabularnewline
y3& 1.02& 0.11& 9.53& .000\tabularnewline
y4& 1.00& 0.12& 8.58& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Intercepts}}\tabularnewline
y1& 0.00$^+$& & & \tabularnewline
y2& 0.00$^+$& & & \tabularnewline
y3& 0.00$^+$& & & \tabularnewline
y4& 0.00$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Residual Variances}}\tabularnewline
y1& 0.50$^+$& & & \tabularnewline
y2& 0.66$^+$& & & \tabularnewline
y3& 0.48$^+$& & & \tabularnewline
y4& 0.50$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Latent Intercepts}}\tabularnewline
ExampleFactor& 0.00$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Latent Variances}}\tabularnewline
ExampleFactor& 0.50& 0.08& 6.19& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Thresholds}}\tabularnewline
y1(1)& -0.94& 0.09& -11.01& .000\tabularnewline
y1(2)& 1.04& 0.09& 11.70& .000\tabularnewline
y2(1)& -0.51& 0.08& -6.77& .000\tabularnewline
y2(2)& 1.04& 0.09& 11.70& .000\tabularnewline
y3(1)& -0.25& 0.07& -3.45& .001\tabularnewline
y3(2)& 1.05& 0.09& 11.80& .000\tabularnewline
y4(1)& -0.99& 0.09& -11.41& .000\tabularnewline
y4(2)& 1.07& 0.09& 11.89& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Fit Indices}}\tabularnewline
Root M.SQ.E.A& 0.00& & & \tabularnewline
CompFitIdx& 1.00& & & \tabularnewline
chisq& 0.03& & & \tabularnewline
Scaled $\chi^{2}(\mathrm{df})$& 0.07(2)& & & .966\tabularnewline
\hline\multicolumn{5}{l}{$^+$Fixed parameter}\tabularnewline
\end{tabular}
semTable documentation built on April 30, 2020, 1:05 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) Examples
Description
Creates LaTeX markup for structural equation modeling output
tables in the style of the American Psychological
Association(APA). Input objects should be created by the
"lavaan" package.
Usage
1 2 3 4 5 6 7 | semTable(object, file = NULL, paramSets = "all", paramSetLabels,
columns = c(est = "Estimate", se = "SE", z = "z", p = "p"),
columnLabels, fits = c("chisq", "cfi", "tli", "rmsea"),
fitLabels = toupper(fits), varLabels = NULL, groups = NULL,
type = "latex", table.float = FALSE, caption = NULL,
label = NULL, longtable = FALSE, print.results = TRUE,
centering = "siunitx", alpha = c(0.05, 0.01, 0.001))
|
Arguments
object |
A lavaan object (e.g., returned by cfa() or sem()),
or a named list of lavaan objects, e.g., |
file |
Base name for output file. This function will insert suffix, either "tex", "html" and "csv". |
paramSets |
Parameter sets to be included for each fitted
object. Valid values of the vector are |
paramSetLabels |
Named vector, used to supply alternative
pretty printing labels for parameter sets. The default values
are |
columns |
A vector naming estimates to appear for each model.
The allowed columns are "est", "se", "z", "p", "rsquare",
"estse", "eststars", "estsestars". The first 5 have the usual
meanings, while "estse" (can also be written |
columnLabels |
A named vector of "pretty labels" for the
headings in the table. The default labels are |
fits |
Summary indicators to be included. May be a list, one
for each model provided, otherwise the same fit indicators
will be presented for each model. Any of the fit indicators
provided by |
fitLabels |
Labels for some or all of the fit measures
requested by the fits parameter, e.g. |
varLabels |
Named vector of labels to replace variable names in column 1 of SEM table. |
groups |
All groups will be printed, unless a subset is requested here. Estimates for all groups will be displayed side by side. If ONLY SOME groups should be included, then specify groups as either names of fit objects or as integers for elements of the groups vector. |
type |
Choose "latex", "html", or "csv" |
table.float |
If TRUE, create a LaTeX floating table object in which the tabular created here will reside. Default is FALSE. |
caption |
Caption for table (if table.float=TRUE) or longtable output. Ignored otherwise. |
label |
LaTeX label for this object (for cross-references). Only used if table.float = TRUE or longtable = TRUE. |
longtable |
If TRUE, use longtable for LaTeX
documents. Default is FALSE. If true, |
print.results |
If TRUE, marked up result will be displayed
within the session. Otherwise, result is returned silently and
user can use |
centering |
Default "siunitx". For method used in previous editions, replace with "none". |
alpha |
Thresholds for p-values that determine number of
stars. Defaults as |
Details
The argument paramSets determines the inclusion of estimate sections. One can specify "all", which means that all types of parameters that we can find in the fitted model are presented. Otherwise, a subset of parameter sets can be chosen by the user.
"composites" are predictor coefficients in formative constructs
"loadings" are the factor loadings in the model.
"slopes" are the regression slopes in the model.
"intercepts" are the estimated constants in the measurement models.
"residualvariances" are the observed variable residual variances.
"residualcovariances" are the observed covariances among residuals of observed variables.
"latentvariances" are the variances of unobserved variables.
"latentcovariances" are the covariances between unobserved variables.
"latentmeans" are means of unobserved variables
"thresholds" arise in latent response variates (non-numeric indicator data).
"constructed" are parameters that are calculated from a formula in the model specification, such as an indirect path c=a*b.
"fits" the summary indicators of the mismatch between the theoretical and observed covariance matrices, such as RMSEA, CLI, TFI. While the fits are not technically parameters, they are displayed in the same block style as parameters
The columns parameter is used to specify different columns, while columnLabels will alter the displayed labels for them.
Value
Markup for SEM table. Includes an attribute "markedResults", which can be converted to other markup formats by the function markupConvert.
Author(s)
Ben Kite <bakite@ku.edu> Paul Johnson <pauljohn@ku.edu>
Examples
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 | ## Most of the examples were moved to the semTable vignette
require(lavaan)
tempdir <- tempdir()
## The example from lavaan's docs
HS.model <- ' visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9'
fit1 <- cfa(HS.model, data = HolzingerSwineford1939,
std.lv = TRUE, meanstructure = TRUE)
## Try a LaTeX file first
fit1.t1 <- semTable(fit1, columns = c("estse", "p"),
fits = c("chisq", "rmsea"), file = file.path(tempdir, "fit1.t1"),
varLabels = c("x1" = "hello"), type = "latex", print.results = FALSE)
## If you have a working version of pdflatex in your system path,
if (interactive()) testtable("fit1.t1.tex", tempdir)
model <- "factor =~ .7*y1 + .7*y2 + .7*y3 + .7*y4
y1 | -1*t1 + 1*t2
y2 | -.5*t1 + 1*t2
y3 | -.2*t1 + 1*t2
y4 | -1*t1 + 1*t2"
dat <- simulateData(model, sample.nobs = 300)
testmodel <- "ExampleFactor =~ y1 + y2 + y3 + y4"
fit4 <- cfa(testmodel, data = dat, ordered = colnames(dat),
std.lv = FALSE)
fit4.t1 <- semTable(fit4, paramSets = c("loadings", "thresholds",
"residualvariances"), fits = c("tli", "chisq"),
fitLabels = c(tli = "TLI", chisq = "chisq"), type = "html",
file=file.path(tempdir, "fit4.t1") )
if(interactive()) browseURL(attr(fit4.t1, "file"))
fit4.t2 <- semTable(fit4, fits = c("rmsea", "cfi", "chisq"),
fitLabels = c(rmsea = "Root M.SQ.E.A", cfi = "CompFitIdx", chisq = "chisq"),
type = "latex", file=file.path(tempdir, "fit4.t2"))
if (interactive()) testtable("fit4.t2.tex", tempdir)
|
Example output
Loading required package: lavaan
This is lavaan 0.6-7
lavaan is BETA software! Please report any bugs.
<table style="padding-right:20px;padding-left:20px;">
<tr><td></td><td colspan = '4'; align = 'center'>Model</td></tr>
<tr><td></td><td colspan = '1'; align = 'center'>Estimate</td><td colspan = '1'; align = 'center'>Std. Err.</td><td colspan = '1'; align = 'center'>z</td><td colspan = '1'; align = 'center'>p</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Factor Loadings</span></td></tr> <tr><td colspan = '1'; align = 'left'><span style="text-decoration: underline;">ExampleFactor</span></td></tr>
<tr><td>y1</td><td>1.00<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y2</td><td>0.83</td><td>0.12</td><td>6.96</td><td>.000</td></tr>
<tr><td>y3</td><td>1.02</td><td>0.11</td><td>9.53</td><td>.000</td></tr>
<tr><td>y4</td><td>1.00</td><td>0.12</td><td>8.58</td><td>.000</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Residual Variances</span></td></tr>
<tr><td>y1</td><td>0.50<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y2</td><td>0.66<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y3</td><td>0.48<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td>y4</td><td>0.50<sup>+</sup></td><td></td><td></td><td></td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Thresholds</span></td></tr>
<tr><td>y1(1)</td><td>-0.94</td><td>0.09</td><td>-11.01</td><td>.000</td></tr>
<tr><td>y1(2)</td><td>1.04</td><td>0.09</td><td>11.70</td><td>.000</td></tr>
<tr><td>y2(1)</td><td>-0.51</td><td>0.08</td><td>-6.77</td><td>.000</td></tr>
<tr><td>y2(2)</td><td>1.04</td><td>0.09</td><td>11.70</td><td>.000</td></tr>
<tr><td>y3(1)</td><td>-0.25</td><td>0.07</td><td>-3.45</td><td>.001</td></tr>
<tr><td>y3(2)</td><td>1.05</td><td>0.09</td><td>11.80</td><td>.000</td></tr>
<tr><td>y4(1)</td><td>-0.99</td><td>0.09</td><td>-11.41</td><td>.000</td></tr>
<tr><td>y4(2)</td><td>1.07</td><td>0.09</td><td>11.89</td><td>.000</td></tr>
<tr><td></td><td colspan = '4'; align = 'center'><span style="text-decoration: underline;">Fit Indices</span></td></tr>
<tr><td>TLI</td><td>1.02</td><td></td><td></td><td></td></tr>
<tr><td>chisq</td><td>0.03</td><td></td><td></td><td></td></tr>
<tr><td>Scaled χ<sup>2</sup></td><td>0.07(2)</td><td></td><td></td><td>.966</td></tr>
<tr><td colspan = '5'; align = 'left'><sup>+</sup>Fixed parameter</td></tr>
</table><br>
\begin{tabular}{@{}r*{4}{S[
input-symbols = ( ) +,
group-digits = false,
table-number-alignment = center,
%table-space-text-pre = (,
table-align-text-pre = false,
table-align-text-post = false,
table-space-text-post = {***},
parse-units = false]}@{}}
& \multicolumn{4}{c}{Model}\tabularnewline \hline
& \multicolumn{1}{c}{Estimate}& \multicolumn{1}{c}{Std. Err.}& \multicolumn{1}{c}{z}& \multicolumn{1}{c}{p}\tabularnewline\hline
& \multicolumn{4}{c}{\underline{Factor Loadings}}\tabularnewline \multicolumn{1}{l}{\underline{ExampleFactor}}\tabularnewline
y1& 1.00$^+$& & & \tabularnewline
y2& 0.83& 0.12& 6.96& .000\tabularnewline
y3& 1.02& 0.11& 9.53& .000\tabularnewline
y4& 1.00& 0.12& 8.58& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Intercepts}}\tabularnewline
y1& 0.00$^+$& & & \tabularnewline
y2& 0.00$^+$& & & \tabularnewline
y3& 0.00$^+$& & & \tabularnewline
y4& 0.00$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Residual Variances}}\tabularnewline
y1& 0.50$^+$& & & \tabularnewline
y2& 0.66$^+$& & & \tabularnewline
y3& 0.48$^+$& & & \tabularnewline
y4& 0.50$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Latent Intercepts}}\tabularnewline
ExampleFactor& 0.00$^+$& & & \tabularnewline
& \multicolumn{4}{c}{\underline{Latent Variances}}\tabularnewline
ExampleFactor& 0.50& 0.08& 6.19& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Thresholds}}\tabularnewline
y1(1)& -0.94& 0.09& -11.01& .000\tabularnewline
y1(2)& 1.04& 0.09& 11.70& .000\tabularnewline
y2(1)& -0.51& 0.08& -6.77& .000\tabularnewline
y2(2)& 1.04& 0.09& 11.70& .000\tabularnewline
y3(1)& -0.25& 0.07& -3.45& .001\tabularnewline
y3(2)& 1.05& 0.09& 11.80& .000\tabularnewline
y4(1)& -0.99& 0.09& -11.41& .000\tabularnewline
y4(2)& 1.07& 0.09& 11.89& .000\tabularnewline
& \multicolumn{4}{c}{\underline{Fit Indices}}\tabularnewline
Root M.SQ.E.A& 0.00& & & \tabularnewline
CompFitIdx& 1.00& & & \tabularnewline
chisq& 0.03& & & \tabularnewline
Scaled $\chi^{2}(\mathrm{df})$& 0.07(2)& & & .966\tabularnewline
\hline\multicolumn{5}{l}{$^+$Fixed parameter}\tabularnewline
\end{tabular}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.