0.0-8	(unknown)
o	removed all base distribution functions that had been modified to allow a plot= argument.  This functionality is now
	  in distrib().
o	bin.ci(): modified, removed dots argument.  This excludes use of other arguments sent to binconf() which resulted in
	  an error.
o	box.tidwell(): removed.
o	distrib(): added, replaces the modified base dXXX, pXXX, and qXXX functions.
o	slnorm(): added.
o	droplevel(): removed, use drop.levels() in the gdata package.
o	Levenes(): removed, now in car package as modified levene.test().
o	mult.rnorm: modified, added code around the exact= argument to allow the generated values to have the exact mean and
	  sd given by the user.  This was needed because the modified rnorm() was removed from the package.  Also, changed
	  digits= argument to numdigs= to be consistent with other functions.
o	rcumsum(): removed, now in the FSA package.
o	rnorm(): removed.
o	trans.chooser(): modified, changed all of the minimums for the lambda sliders to -1 and all of the maximums to +1,
	  changed default of show.stats= from TRUE to FALSE (for all versions) and bp= from FALSE to TRUE (for one-way and 
	  two-way versions); and changed call to Levenes() to a call to levene.test() because of the removel of Levenes().


0.0-7	(unknown)
o	c.region(): modified, added shade.col= argument to allow setting the shading color (defaults to red); added
	  show.axis= argument to allow choosing whether value is plotted on x-axis or not.  Both of these changes were
	  brought on by using c.region() in power.sim().
o	d.region(): modfied, added shade.col= argument to allow setting the shading color.
o	logreg.plot(): modified, changed default p.pch= to 3 rather than 150 because 150 apparently did not work on the Mac.
o	NCStatsSims(): modified, added the power.sim to one of the menu items.
o	power.demo(): removed, replaced with power.sim().
o	power.sim(): added, uses slider bars to learn the effect of changing the effect size, n, sigma, and alpha on power.


0.0-6	(unknown)
o	bin.ci(): modified, added match.arg() for type= argument.  Streamlined function by using ifelse() argument (near
	  end).
o	fit.plot.TWOWAY(): modified, removed dots argument from legend() to allow dots argument that are appropriate for
	  interaction.plot() but are not appropriate for legend().
o	logreg.plot(): added, this in for Biometry in W08.  Eventually this should be in fit.plot.
o	trans.chooser: modified, corrected function so that if outlier.test() p-value is less than 0.05 then outlier p-value
	  listing at the top of the graph is red, otherwise it is black.  The function mistakingly was only changing colors
	  based on the p-value from the Anderson-Darling test.  Changed function so that residual plot will highlight
	  outliers as it does in the residual.plot().  Also had to correct the way the test results were printed for the SLR
	  and IVR methods.


0.0-5	(unknown)
o	expand.table(): added, used to convert contingency tables to raw data.
o	fit.plot.nls(): modified, can now handle a situation where two groups are being compared in an nls fit.
o	fit.plot.TWOWAY(): modified, fixed bug that did not plot connecting lines when a factor was chosen with the which=
	  argument.  The lty= argument is now just set =1 if which= is supplied and lty= is missing.
o	mult.rnorm(): added, aids multiple "calls" to rnorm().  This allows the user to simulate multiple groups with
	  potentially different n, mean, and SD values.
o	residual.plot(): Added, S3 object for nls objects.  This will need to be updated in the future to allow for multiple
	  groups.  Currently it simply plots the values.  Also made sure that the lowess() function used is the function in
	  the stats package and not the gplots package.
o	rnorm(): modified, introduced an exact= argument that allows the user to choose whether the resulting random numbers
	  will have the exact given mean and SD.
o	Summary(): modified, added the ability to handle factor variables (create frequency tables).  Any non-numeric or
	  non-factor vector still passes through to summary().
o	trans.chooser(): modified, added outlier.test p-values to stats above histograms.  Changed one-way and two-way so
	  that a residual plot instead of a boxplot of residuals by group was shown (as the default).  The boxplot can now be
	  obtained using the bp= argument.  Added formatC formatting to p-value printouts on graphs.  Changed deltas for the
	  slider bars to provide higher resolution in slider changes which will allow for lambdas at or closer to the most
	  common values of lambda.


0.0-4	(unknown)
o	Changed to compiling under R 2.6.1.
o	Redid RD files so that it would compile LaTeX help manual.
o	attached(): added, lists the items in search() that are not the global environment, not the autoload, and not
	  packages.  This will hopefully make it easier for students to see which data frames are currently attached.
o	ci.bc(): modified, transposed resulting matrix when more than one variable was used (variables are now rows and CI
	  values appear in columns).  Added "LCI" and "UCI" to labels.  Corrected example code.
o	ci.t(): modified, changed first argument from "Est" to "est".
o	comp.intercepts(): modified, added a print S3 method.  Modified main function to accomodate this.
o	comp.slopes(): modified, added a print S3 method.  Modified main function to accomodate this.
o	detach.all(): added, simultaneously detach all data frames returned by attached().
o	fit.plot.TWOWAY(): modified, added dots argument to legend calls so that if a col= argument is sent to fit.plot in
	  the dots (so that it is then sent to interaction.plot()) it is also sent to legend().  Added an lty= argument.
o	ho.bc(): modified, changed first argument so that it will accept either a matrix or a vector of bootstrapped values.
	  Changed the second argument to NULL so that if the first argument is a vector then the second argument is ignored.
	  Changed the value to be tested to default to zero.  Changed the alt argument to only accept "less","greater", or
	  "two.sided".  Changed output result to have more informative labels.  Corrected example code.
o	ho.coef(): modified, changed returned value from data.frame to matrix.  Added a "term" column to the output.  Changed
	  the alt argument to only accept "less","greater", or "two.sided".
o	droplevel(): added, remove unused levels from all factor variables in a data frame.
o	Levenes(): modified, changed "Pr(>F)" label on output table to "p-value".  Makes the function output more consistent
	  for introductory students.
o	mhist(): added, plot multiple histograms of a quantitative variable separated by levels in a factor variable.  Would
	  have called it multhist() but there is already a multhist() in the plotrix package.
o	NCStatsSims(): added, create a menu system for accessing the simulations in the NCStats package.
o	rhead(): added, behaves similarly to head() for data frames except that it returns a random selection of n rows
	  rather that the first n rows.
o	Summary(): modified, changed d argument to object argument (to be more compatible with summary).  Changed so that if
	  object is non-numeric then the object object just passes through to the summary function (thus if a student wants 
	  the summary for an lm object they should get it whether they type Summary or summary).  Added the na.rm=TRUE
	  argument.  Changed the output so that the sample size (n), number of NAs, and "valid n" (n-number of NAs) is
	  printed and changed the order so that the mean and SD are printed immediately after the sample size information and
	  then the five-number summary is printed after that.