The Originally Launched Version of the Package

'multicon' version history Version 1.0 – 12/16/2014 The originally launched version of the package

Version 1.1 – 1/13/2014 1. Added function print.q.cor() to allow generic print() function to work with q.cor() objects. 2. Added class(q.cor) to q.cor() objects to allow printing 3. rand.test() changed so that vectors may be submitted as arguments without error 4. q.cor.print() is now warns that it is deprecated. Generic print() should be used instead.

Version 1.2 – 4/21/2014 1. Revised composite() function to more conveniently reverse score items included in the composite set and added an argument ‘rel’ to (optionally) output internal consistency information for the composite. Revised examples to reflect this. 2. Added decomp() function which can be used to get a variety of variance decomposition statistics from matrices. 3. Added structSumIPC() function which can be used to get statistics related to the Structural Summary Method for research on the Interpersonal Circumplex. 4. Updated catseye(), bargraph(), egraph(), and diffPlot() to handle factors as IVs better.

Version 1.3 – 10/30/2014 1. Updated egraph() to default by printing no “whiskers” on the error bar endpoints. 2. Updated catseye() to default by printing no “whiskers” on the error bar endpoints. 3. Updated diffPlot() by adding two subfuctions: diffPlot.default() which takes both an ‘x’ and ‘y’ argument and diffPlot.formula() which allows formula input. Either input can be taken by the diffPlot() function. When using the formula format, one can also use the data=option (like in t.test or lm). When the “x, y” format is used, diffPlot() now includes an argument (paired=) for dealing with paired (dependent samples) data. Examples are now revised to reflect these changes. Version 1.4 – 12/12/2014 (never appeared on CRAN) 1. Updated diffPlot() function to allow the user to choose the y-axis limits instead of the defaults. 2. Updated various errors in manual pages. 3. Added lensModel(), lensDetect(), and print.lensMod() functions. These functions can be used to conduct lens model analyses. 4. Added lensData as an example dataset for the lensModel(), lensDetect(), and print.lensMod() functions. Version 1.5 – 1/8/2015 1. Added scoreTest() function to quickly score numerous tests / measures. Options for reliability analysis and standardizing variables are available. 2. Added plotProfile() function to plot profiles of scores (e.g., personality test scores). Version 1.6 – 2/2/2015 1. Changed the rownames of the resulting values from the partwhole() function to be “UnitWgt” and “Component” to be more clear to users. 2. Changed the data argument in diffPlot to default to NULL, allowing the user to employ the formula method without first needing to put objects already in the workspace into a data.frame. 3. Added tContrast() function for computing contrast t-tests. 4. Added winvar() function to be used by yuenContrast(). 5. Added yuenContrast() which can be used to compute an entire family of t-tests and t- contrasts (i.e., t-tests with more than 2 groups). Traditional Student’s t-test can be calculated by setting options tr = 0 and EQVAR = FALSE. Welch’s t-test can be calculated by setting option tr = 0. Yuen’s version is calculated when tr > 0. All of these can be generalized to contrasts with more than 2 groups. The entire family of T equations can be found here: http://rynesherman.com/T-Family.doc