Running examples in 'lavaanExtra-Ex.R' failed
The error most likely occurred in:

> ### Name: cfa_fit_plot
> ### Title: Fit and plot CFA simultaneously
> ### Aliases: cfa_fit_plot
> ### Keywords: CFA fit lavaan plot
> 
> ### ** Examples
> 
> ## Don't show: 
> if (requireNamespace("lavaan", quietly = TRUE) && requireNamespace("lavaanPlot", quietly = TRUE)) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ (latent <- list(
+   visual = paste0("x", 1:3),
+   textual = paste0("x", 4:6),
+   speed = paste0("x", 7:9)
+ ))
+ 
+ HS.model <- write_lavaan(latent = latent)
+ cat(HS.model)
+ 
+ library(lavaan)
+ fit <- cfa_fit_plot(HS.model, HolzingerSwineford1939)
+ ## Don't show: 
+ }) # examplesIf
> (latent <- list(visual = paste0("x", 1:3), textual = paste0("x", 4:6), 
+     speed = paste0("x", 7:9)))
$visual
[1] "x1" "x2" "x3"

$textual
[1] "x4" "x5" "x6"

$speed
[1] "x7" "x8" "x9"

> HS.model <- write_lavaan(latent = latent)
> cat(HS.model)
##################################################
# [-----Latent variables (measurement model)-----]

visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
speed =~ x7 + x8 + x9

> library(lavaan)
This is lavaan 0.6-16
lavaan is FREE software! Please report any bugs.
> fit <- cfa_fit_plot(HS.model, HolzingerSwineford1939)
lavaan 0.6.16 ended normally after 35 iterations

  Estimator                                         ML
  Optimization method                           NLMINB
  Number of model parameters                        21

  Number of observations                           301

Model Test User Model:
                                              Standard      Scaled
  Test Statistic                                85.306      87.132
  Degrees of freedom                                24          24
  P-value (Chi-square)                           0.000       0.000
  Scaling correction factor                                  0.979
    Yuan-Bentler correction (Mplus variant)                       

Model Test Baseline Model:

  Test statistic                               918.852     880.082
  Degrees of freedom                                36          36
  P-value                                        0.000       0.000
  Scaling correction factor                                  1.044

User Model versus Baseline Model:

  Comparative Fit Index (CFI)                    0.931       0.925
  Tucker-Lewis Index (TLI)                       0.896       0.888
                                                                  
  Robust Comparative Fit Index (CFI)                         0.930
  Robust Tucker-Lewis Index (TLI)                            0.895

Loglikelihood and Information Criteria:

  Loglikelihood user model (H0)              -3737.745   -3737.745
  Scaling correction factor                                  1.133
      for the MLR correction                                      
  Loglikelihood unrestricted model (H1)      -3695.092   -3695.092
  Scaling correction factor                                  1.051
      for the MLR correction                                      
                                                                  
  Akaike (AIC)                                7517.490    7517.490
  Bayesian (BIC)                              7595.339    7595.339
  Sample-size adjusted Bayesian (SABIC)       7528.739    7528.739

Root Mean Square Error of Approximation:

  RMSEA                                          0.092       0.093
  90 Percent confidence interval - lower         0.071       0.073
  90 Percent confidence interval - upper         0.114       0.115
  P-value H_0: RMSEA <= 0.050                    0.001       0.001
  P-value H_0: RMSEA >= 0.080                    0.840       0.862
                                                                  
  Robust RMSEA                                               0.092
  90 Percent confidence interval - lower                     0.072
  90 Percent confidence interval - upper                     0.114
  P-value H_0: Robust RMSEA <= 0.050                         0.001
  P-value H_0: Robust RMSEA >= 0.080                         0.849

Standardized Root Mean Square Residual:

  SRMR                                           0.065       0.065

Parameter Estimates:

  Standard errors                             Sandwich
  Information bread                           Observed
  Observed information based on                Hessian

Latent Variables:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  visual =~                                                             
    x1                1.000                               0.900    0.772
    x2                0.554    0.132    4.191    0.000    0.498    0.424
    x3                0.729    0.141    5.170    0.000    0.656    0.581
  textual =~                                                            
    x4                1.000                               0.990    0.852
    x5                1.113    0.066   16.946    0.000    1.102    0.855
    x6                0.926    0.061   15.089    0.000    0.917    0.838
  speed =~                                                              
    x7                1.000                               0.619    0.570
    x8                1.180    0.130    9.046    0.000    0.731    0.723
    x9                1.082    0.266    4.060    0.000    0.670    0.665

Covariances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
  visual ~~                                                             
    textual           0.408    0.099    4.110    0.000    0.459    0.459
    speed             0.262    0.060    4.366    0.000    0.471    0.471
  textual ~~                                                            
    speed             0.173    0.056    3.081    0.002    0.283    0.283

Variances:
                   Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
   .x1                0.549    0.156    3.509    0.000    0.549    0.404
   .x2                1.134    0.112   10.135    0.000    1.134    0.821
   .x3                0.844    0.100    8.419    0.000    0.844    0.662
   .x4                0.371    0.050    7.382    0.000    0.371    0.275
   .x5                0.446    0.057    7.870    0.000    0.446    0.269
   .x6                0.356    0.047    7.658    0.000    0.356    0.298
   .x7                0.799    0.097    8.222    0.000    0.799    0.676
   .x8                0.488    0.120    4.080    0.000    0.488    0.477
   .x9                0.566    0.119    4.768    0.000    0.566    0.558
    visual            0.809    0.180    4.486    0.000    1.000    1.000
    textual           0.979    0.121    8.075    0.000    1.000    1.000
    speed             0.384    0.107    3.596    0.000    1.000    1.000

R-Square:
                   Estimate
    x1                0.596
    x2                0.179
    x3                0.338
    x4                0.725
    x5                0.731
    x6                0.702
    x7                0.324
    x8                0.523
    x9                0.442

Error: Package `DiagrammeRsvg` required for this function..
  Please install it by running `install.packages(`DiagrammeRsvg`)`.
Execution halted