lavaan_summary: Tidy report of lavaan model.

In bruceR: Broadly Useful Convenient and Efficient R Functions

Tidy report of lavaan model.

Description

Tidy report of lavaan model.

Usage

lavaan_summary(
  lavaan,
  ci = c("raw", "boot", "bc.boot", "bca.boot"),
  nsim = 100,
  seed = NULL,
  digits = 3,
  nsmall = digits,
  print = TRUE,
  covariance = FALSE,
  file = NULL
)

Arguments

lavaan	Model object fitted by lavaan.
ci	Method for estimating standard error (SE) and 95% confidence interval (CI). Default is "raw" (the standard approach of lavaan). Other options: "boot" Percentile Bootstrap "bc.boot" Bias-Corrected Percentile Bootstrap "bca.boot" Bias-Corrected and Accelerated (BCa) Percentile Bootstrap
nsim	Number of simulation samples (bootstrap resampling) for estimating SE and 95% CI. In formal analyses, nsim=1000 (or larger) is strongly suggested.
seed	Random seed for obtaining reproducible results. Default is NULL.
digits, nsmall	Number of decimal places of output. Default is 3.
print	Print results. Default is TRUE.
covariance	Print (co)variances. Default is FALSE.
file	File name of MS Word (.doc).

Value

Invisibly return a list of results:

fit

Model fit indices.

measure

Latent variable measures.

regression

Regression paths.

covariance

Variances and/or covariances.

effect

Defined effect estimates.

See Also

PROCESS, CFA

Examples

## Simple Mediation:
## Solar.R (X) => Ozone (M) => Temp (Y)

# PROCESS(airquality, y="Temp", x="Solar.R",
#         meds="Ozone", ci="boot", nsim=1000, seed=1)

model = "
Ozone ~ a*Solar.R
Temp ~ c.*Solar.R + b*Ozone
Indirect := a*b
Direct := c.
Total := c. + a*b
"
lv = lavaan::sem(model=model, data=airquality)
lavaan::summary(lv, fit.measure=TRUE, ci=TRUE, nd=3)  # raw output
lavaan_summary(lv)
# lavaan_summary(lv, ci="boot", nsim=1000, seed=1)


## Serial Multiple Mediation:
## Solar.R (X) => Ozone (M1) => Wind(M2) => Temp (Y)

# PROCESS(airquality, y="Temp", x="Solar.R",
#         meds=c("Ozone", "Wind"),
#         med.type="serial", ci="boot", nsim=1000, seed=1)

model0 = "
Ozone ~ a1*Solar.R
Wind ~ a2*Solar.R + d12*Ozone
Temp ~ c.*Solar.R + b1*Ozone + b2*Wind
Indirect_All := a1*b1 + a2*b2 + a1*d12*b2
Ind_X_M1_Y := a1*b1
Ind_X_M2_Y := a2*b2
Ind_X_M1_M2_Y := a1*d12*b2
Direct := c.
Total := c. + a1*b1 + a2*b2 + a1*d12*b2
"
lv0 = lavaan::sem(model=model0, data=airquality)
lavaan::summary(lv0, fit.measure=TRUE, ci=TRUE, nd=3)  # raw output
lavaan_summary(lv0)
# lavaan_summary(lv0, ci="boot", nsim=1000, seed=1)

model1 = "
Ozone ~ a1*Solar.R
Wind ~ d12*Ozone
Temp ~ c.*Solar.R + b1*Ozone + b2*Wind
Indirect_All := a1*b1 + a1*d12*b2
Ind_X_M1_Y := a1*b1
Ind_X_M1_M2_Y := a1*d12*b2
Direct := c.
Total := c. + a1*b1 + a1*d12*b2
"
lv1 = lavaan::sem(model=model1, data=airquality)
lavaan::summary(lv1, fit.measure=TRUE, ci=TRUE, nd=3)  # raw output
lavaan_summary(lv1)
# lavaan_summary(lv1, ci="boot", nsim=1000, seed=1)

bruceR documentation built on March 7, 2023, 5:41 p.m.