EFAtools 0.2.0

General

Created new vignette Replicate_SPSS_psych to show replication of original psych and SPSS EFA solutions with EFAtools.

Added function FACTOR_SCORES() to calculate factor scores from a solution from EFA(). This is just a wrapper for the psych::factor.scores function.
Added function SCREE() that does a scree plot. Also added respective print and plot methods.

CD(): Added check for whether entered data is a tibble, and if so, convert to vanilla data.frame to avoid breaking the procedure.
EFA():
- Updated the EFAtools type in PAF and Pomax.
- Added p value for chi square value in output (calculated for ML and ULS fitting methods).
- Updated the SPSS varimax implementation to fit SPSS results more closesly.
- Created an argument “varimax_type” that is set according to the specified type, but that can also be specified individually. With type R psych and EFAtools, the stats::varimax is called by default (varimax_type = "svd"), with type SPSS, the reproduced SPSS varimax implementation is used (varimax_type = "kaiser").
- Renamed the kaiser argument (controls if a Kaiser normalization is done or not) into normalize to avoid confusion with the varimax_type argument specifications.
ML(): Changed default start method to “psych”.
N_FACTORS():
- Added option to do a scree plot if “SCREE” is included in the criteria argument.
- Added a progress bar.
OMEGA(): Now also works with a lavaan second-order solution as input. In this case, it does a Schmid-Leiman transformation based on the first- and second-order loadings first and computes omegas based on this Schmid-Leiman solution.
SL(): Now also works with a lavaan second-order solution as input (first- and second-order loadings taken directly from lavaan output).

.get_compare_matrix(): Fixed a bug that occurred when names of data were longer than n_char
COMPARE(): Fixed a bug that occurred when using reorder = "names".
EFA(): RMSEA is now set to 1 if it is > 1.
HULL(): Fixed a bug that occurred when no factors are located on the HULL
KMO(): Fixed a bug that the inverse of the correlation matrix was not taken anew after smoothing was necessary.
PARALLEL():
- Fixed a bug that occurred when using decision_rule = "percentile"
- Relocated error messages that were not evaluated if no data were entered (and should be)
print.COMPARE(): Fixed a bug that occurred when using print_diff = FALSE in COMPARE().
print.KMO(): Fixed a bug that printed two statements instead of one, when the KMO value was < .6.

OMEGA() and SL(): Added an error message if the entered term in g_name is invalid (i.e., it cannnot be found among the factor names of the entered lavaan solution).

Added an error message in PARALLEL() if no solution has been found after 25 tries.