misty 0.4.7 (2023-01-06)
New features
- New function
aov.w() for performing repeated measures
analysis of variance (within-subject ANOVA) including paired-samples
t-tests for multiple comparison, descriptive statistics, effect size
measures, and a plot showing error bars for within-subject confidence
intervals.
- New function
ci.mean.w() for computing
difference-adjusted Cousineau-Morey within-subject confidence
intervals.
Minor features and
improvements
- Function
ci.mean.diff() computes the confidence
interval for the difference for an arithmetic mean in a one-sample
design.
- Functions
aov.b(), test.t(),
test.welch(), test.z() plot
difference-adjusted confidence intervals in two-sample design by
default.
- Added the argument
jitter.height to the functions
aov.b(), test.levene(), test.t(),
aov.welch(), and test.z().
- Added the argument
adjust to the function
ci.mean(), to apply difference-adjustment for the
confidence interval.
User-visible c hanges
- Function
test.t() displays the confidence interval for
the mean difference in the one-sample t-test.
Bug fix
- Fixed a bug in the function
test.t(), result table
provided by the function did not display the confidence interval
correctly.
misty 0.4.6 (2022-06-08)
New features
- New function
aov.b() for performing between-subject
analysis of variance including Tukey HSD post hoc test for multiple
comparison.
Minor features and
improvements
- Function
as.na() is also applicable to arrays
- Added the argument
plot and arguments for various
graphical parameters for plotting results to the functions
test.levene(), test.t(),
test.welch(), and test.z().
- Added the argument
write for writing results into an
Excel file to the functions cor.matrix(),
crosstab(), descript(), freq(),
item.alpha(), item.cfa(),
item.omega(), multilevel.cor(),
multilevel.descript(), na.coverage(),
na.descript(), and na.pattern()
- Added the argument
posthoc for conducting Games-Howell
post hoc test for multiple comparison to the functions
test.welch().
misty 0.4.5 (2022-04-29)
New features
- New function
item.cfa() for conducting confirmatory
factor analysis using the R package lavaan.
Minor features and
improvements
- Function
write.result() can also write results based on
the return object of the item.cfa() function.
- Argument
exclude of the function freq()
can also be set to FALSE.
User-visible changes
- Revised the output of the function
multilevel.cor() to
make it consistent with the output of the function
item.cfa().
- Changed the argument
na.omit in the functions
multilevel.cor() to missing to make it
consistent with the arguments of the function
item.cfa().
- Changed the default setting of the argument
estimator
in the functions multilevel.cor() to ML, so
that full information maximum likelihood method is used for dealing with
missing data.
Bug fix
- Fixed a bug in the function
multilevel.cor(), function
did not use Huber-White robust standard errors, but conventional
standard errors when specifying estimator = "MLR".
misty 0.4.4 (2022-02-24)
New features
- New function
multilevel.r2() for computing R-squared
measures for multilevel and linear mixed effects models.
- New function
write.xlsx() for writing Excel files
(.xlsx).
- New function
write.result() for writing results of a
misty object into an Excel file.
Minor features and
improvements
- Added mean and variance components to the output of the function
multilevel.descript().
- Added the argument
round to the function
freq() for rounding numeric variables.
User-visible changes
- Added a warning message in the
na.test() function when
running into numerical problems.
- Changed the default setting of the argument
sig in the
functions cor.matrix() and multilevel.cor() to
FALSE.
Bug fix
misty 0.4.3 (2021-09-30)
User-visible changes
- Examples added to the documentation of the
collin.diag() function.
Bug fix
- Fixed a bug in the function
print.misty.object(),
function did not print the result object of the the function
crosstab() correctly when requesting percentages.
misty 0.4.2 (2021-08-19)
New features
- New function
multilevel.cor() for computing the
within-group and between-group correlation matrix using the lavaan
package.
- New function
na.test() for performing Little’s missing
completely at random (MCAR) test.
- New function
indirect() for computing confidence
intervals for the indirect effect using the asymptotic normal method,
the distribution of the product method, and the Monte Carlo method.
- New function
multilevel.indirect() for computing
confidence intervals for the indirect effect in a 1-1-1 multilevel
mediation model using the Monte Carlo method.
Minor features and
improvements
- Function
cor.matrix() highlights statistically
significant correlation coefficients in boldface.
- Function
cor.matrix() shows the results in a table when
computing a correlation coefficient for two variables.
- Added test statistic (
stat) and degrees of freedom
(df) to the argument print in the function
cor.matrix().
- Added the argument
continuity for continuity correction
to the function cor.matrix() for testing Spearman’s
rank-order correlation coefficient and Kendall’s Tau-b correlation.
- Substantial speed improvement for the function
cor.matrix() when computing Spearman’s rank-order
correlation coefficient or Kendall’s Tau-b correlation.
User-visible changes
- Changed the argument
group in the functions
center(), group.scores(),
multilevel.descript(), multilevel.icc(), and
rwg.lindell() to cluster.
- Renamed the function
group.scores() to
cluster.scores().
Bug fix
- Fixed a bug in the function
cor.matrix(), function did
not print sample sizes when specifying a grouping variable and using
listwise deletion.
misty 0.4.1 (2021-06-07)
Minor features and
improvements
- Function
write.mplus() writes a Mplus input template
with variables names specified in the DATA command along with the
tab-delimited data file by default.
User-visible changes
- Removed the argument
print() in the
write.mplus() function.
- Changed the default setting of the argument
weighted in
the test.welch() function into FALSE following
the recommendation by Delacre et al. (2021).
Bug fix
- Fixed a bug in the function
cohens.d(), function
printed warning messages of the pt() function.
- Fixed a bug in the function
cohens.d(), function could
not deal with more than one variable in a one-sample design.
misty 0.4.0 (2021-05-13)
New features
- New function
test.t() for performing one-sample,
two-sample, and paired-sample t-tests including Cohen’s d effect size
measure.
- New function
test.welch() for performing Welch’s t-test
including Cohen’s d effect size measure and Welch’s ANOVA including
\(\eta^2\) and \(\omega^2\) effect size measures.
Minor features and
improvements
- Added standard error of the mean to the argument
print
in the function descript().
- Added the arguments
format, label,
labels, missing to the function
read.sav() to remove variable formats, variable labels,
value labels, value labels for user-defined missings, and widths from
attributes of the variable.
- Function
item.reverse() can also be applied to to items
with non-integer values.
- Return object of the function
cor.matrix() when
specifying a grouping variable comprises the combined results of both
groups in the matrices.
- Function
read.mplus() can also deal with consecutive
variables (e.g., x1-x5).
- Added
group and split arguments to the
function cohens.d().
- Added Cohen’s d effect size measure to the output of the
test.z function.
- Function
cohens.d() computes various kinds of Cohen’s
d, Hedges’ d, and Glass’s \(\Delta\)
including confidence intervals, e.g., weighted and unweighted pooled
standard deviation in a two-sample design, with and without controlling
for the correlation between the two sets of measurement in a
paired-sample design, or with and without the small-sample correction
factor.
User-visible changes
- Renamed following functions:
alpha.coef() to
item.alpha(), cont.coef() to
cor.cont(), cramers.v() to
cor.cramer(), levenes.test() to
test.levene(), mgsub() to
chr.gsub(), omega.coef() to
item.omega(), reverse.item() to
item.reverse(), phi.coef() to
cor.phi(), poly.cor() to
cor.poly(), scores() to
item.scores(), stromit() to
chr.omit(), trim() to chr.trim(),
z.test() to test.z(),
- Changed the argument
use in the
cor.matrix() function into na.omit.
- Changed the default setting of the argument
method in
the functions multilevel.descript() and
multilevel.icc() to "lme4"; if the lme4
package is not installed, "aov" will be used.
- Changed the output of the functions
ci.mean.diff() and
ci.mean.prop() when computing confidence intervals in
two-sample designs, i.e., results are divided in two rows according to
the grouping variable.
- Changed the output of the functions
ci.mean.diff() and
ci.mean.prop() when computing confidence intervals in
paired-sample designs, i.e., output reports the number of missing data
pairs (nNA), instead of number of missing values for each
variable separately (nNA1 and nNA2).
- Changed the output of the functions
descript() when
specifying the argument levenes.test(), i.e., duplicated
labels in the column group or variable are not
shown.
- Changed the functions
cohens.d() into a generic
function with the methods cohens.d.default() and
cohens.d.formula().
- Added arguments
hypo and descript to the
functions test.levene() and test.z().
- Added titles to the output of the
freq,
descript, and crosstab function.
- Changed the argument
as.na in the as.na()
function into na.
Bug fix
- Fixed a bug in the function
center() which caused an
error message in case of groups with only one observation when trying to
apply group mean centering.
- Fixed a bug in the function
center() which caused an
error message when trying to apply grand mean centering of a Level 1
predictor.
- Fixed a bug in the function
cohens.d(), an error
message was printed in the between subject design whenever specifying a
grouping variable with missing values.
- Fixed a bug in the function
cor.matrix(), which caused
an error when using listwise deletion for missing data while specifying
a grouping variable.
- Fixed a bug in the function
descript(), which caused an
error message when selection only one or two argument statistical
measures using the argument print.
- Fixed a bug in the function
freq(), where the argument
split was broken.
- Fixed a bug in the function
test.zz(), where the
alternative hypothesis was displayed wrong when specifying
alternative = "greater" or
alternative = "less".
misty 0.3.2 (2020-06-08)
New features
- New function
collin.diag() for collinearity diagnostics
including tolerance, (generalized) standard error inflation factor,
(generalized) variance inflation factor, eigenvalues, conditional
indices, and variance proportions for linear, generalized linear, and
mixed-effects models.
- New function
std.coef() for computing standardized
coefficients (StdX, StdY, and StdYX) for linear models estimated by
using the lm() function.
- New function
mgsub() for multiple pattern matching and
replacements, i.e., gsub() function for matching and
replacing a vector of character strings.
- New functions
df.duplicated() and
df.unique() extracting duplicated or unique rows of a
matrix or data frame.
Bug fix
- Fixed a bug in the function
read.xlsx(), default
setting of the argument progress was wrong.
User-visible changes
- Merged all print functions to a single print function called
print.misty.object().
misty 0.3.1 (2020-04-25)
New features
- New function
z.test() for performing one sample, two
sample, and paired sample z-test.
Bug fix
- Function
omega.coef() does not access internal slots of
a fitted lavaan object anymore (requested by Yves Rosseel).
User-visible changes
- Added descriptive statistics and confidence intervals to the
function
levenes.test().
- Changed the output of the functions
size.mean(),
size.prop(), and size.cor() to include greek
letters.
- Changed the argument
theta in the
size.mean() function into delta.
misty 0.3.0 (2020-04-06)
New features
- New functions
ci.mean(), ci.mean.diff(),
ci.median(), ci.prop(),
ci.prop.diff(), ci.sd(), ci.var()
for computing confidence interval for the arithmetic mean, the
difference in arithmetic means, the median, the proportion, the
difference in proportions, the variance, and the standard
deviation.
- New function
levenes.test() for conducting Levene’s
test for homogeneity of variance.
- New function
omega.coef() for computing coefficient
omega (McDonald, 1978), hierarchical omega (Kelley &
Pornprasertmanit, 2016), and categorical omega (Green & Yang,
2009).
- New function
read.xlsx() for reading Excel files
(.xlsx).
Minor features and
improvements
- Added ordinal coefficient alpha to the function
coef.alpha().
- Added Kendall-Stuart’s Tau-c correlation coefficient to the function
cor.matrix().
- Function
as.na() can also replace user-specified values
with missing values in lists.
User-visible changes
- Changed the argument
use in the
alpha.coef() function into a logical argument
na.omit.
- Changed the argument
pval.digits in the
cor.matrix() function into p.digits.
- Merged print functions
print.cont.coef(),
print.cramers.v(), print.na.auxiliary(),
print.na.coverage(), print.phi.coef(), and
print.poly.cor() into
print.square.matrix()
Bug fix
- Fixed a bug in several function, where
is.vector()
function was used to test if an object is a vector. Instead
is.atomic() function is used to test if an object is a
vector.
- Fixed a bug in the function
as.na(), function converted
strings in data frames to factors.
misty 0.2.2 (2020-02-26)
New features
- New function
trim() for removing whitespace from start
and/or end of a string. Note that this function is equivalent to the
function trimws() in the base package.
However, the trimws() function fails to remove whitespace
in some instances.
Bug fix
- Fixed a bug in the function
cohens.d(), function
returned NA for Cohen’s d in within-subject design in the
presence of missing values
- Fixed a bug in the function
alpha.coef(), function did
not provide any item statistics irrespective of the argument
print
- Fixed a bug in the function
as.na(), function always
generated a warning message irrespective of the argument
as.na