Collection of Convenient Functions for Common Statistical Computations


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Documentation for package ‘sjstats’ version 0.3.0

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sjstats-package Collection of Convenient Functions for Common Statistical Computations
bootstrap Generate bootstrap replications
boot_ci Standard Error and Confidence Intervals for bootstrapped estimates
boot_p Standard Error and Confidence Intervals for bootstrapped estimates
boot_se Standard Error and Confidence Intervals for bootstrapped estimates
chisq_gof Chi-square goodness-of-fit-test
cod Tjur's Coefficient of Discrimination
converge_ok Convergence test for mixed effects models
cramer Cramer's V for a contingency table
cronb Cronbach's Alpha for a matrix or data frame
cv Coefficient of Variation
deff Design effects for two-level mixed models
efc Sample dataset from the EUROFAMCARE project
eta_sq Eta-squared of fitted anova
get_re_var Random effect variances
hoslem_gof Hosmer-Lemeshow Goodness-of-fit-test
icc Intraclass-Correlation Coefficient
levene_test Plot Levene-Test for One-Way-Anova
mean_n Row means with min amount of valid values
merMod_p Get p-values for merMod objects
mic Mean Inter-Item-Correlation
mwu Mann-Whitney-U-Test
odds_to_rr Get relative risks estimates from logistic regressions
overdisp Check overdispersion of GL(M)M's
phi Phi value for contingency tables
pred_vars Get predictor and response variables from models
r2 Compute R-squared of (generalized) linear (mixed) models
reliab_test Performs a reliability test on an item scale
resp_val Get predictor and response variables from models
resp_var Get predictor and response variables from models
re_var Random effect variances
rmse Root Mean Squared Error (RMSE)
rse Residual Standard Error (RSE)
se Standard Error for variables
sjstats Collection of Convenient Functions for Common Statistical Computations
smpsize_lmm Sample size for linear mixed models
std_beta Standardized Beta coefficients and CI of lm and mixed models
table_values Expected and relative table values
weight Weight a variable
weight2 Weight a variable
wtd_sd Weighted standard deviation for variables
wtd_se Weighted standard error for variables