Contains a number of functions that serve two goals. First, to make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents (also see < http://rosettastats.com>). Second, to make a number of slightly more advanced functions more user friendly to relatively novice users. The package also conveniently houses a number of additional functions that are intended to increase the quality of methodology and statistics in psychology, not by offering technical solutions, but by shifting perspectives, for example towards reasoning based on sampling distributions as opposed to on point estimates.

Userfriendlyscience contains a number of functions that serve two goals. First, to make R more accessible to people migrating from SPSS by adding a number of functions that behave roughly like their SPSS equivalents. Second, to make a number of slightly more advanced functions more user friendly to relatively novice users. The package also conveniently houses a number of additional functions that are intended to increase the quality of methodology and statistics in psychology, not by offering technical solutions, but by shifting perspectives, for example towards reasoning based on sampling distributions as opposed to on point estimates.

The package imports functions from many other packages, which is in line with its function as a 'wrapper package': USF aims to make many existing functions easier for users coming from SPSS, so sometimes a function is added when it saves the user just some data preparing.

The only publications where the package has been mentioned so far are available at:

http://ehps.net/ehp/index.php/contents/article/download/ehp.v16.i2.p56/1 http://ehps.net/ehp/index.php/contents/article/download/ehp.v16.i2.p70/25 http://www.tandfonline.com/doi/pdf/10.1080/17437199.2015.1124240

All are Open Access. Please cite the manual and/or one of these publications when you use the package.

If you have any questions, you can reach me at gjalt-jorn@userfriendlyscience.com.

0.5-2 2016-12-15

- Fixed some errors in the list of exported functions
- descr function now uses the quantile function to compute the interquartile range
- Minor fix in dlvPlot (removed unknown aesthetic)
- Fix in invertItems to no longer simplify a dataframe to a vector if only one column is selected
- Added Coefficient H to scaleStructure
- Minor improvement in getData to enable suppressing messages
- Fix in meanDiff to better interpret measurement levels of input variables
- Added pwr.cohensdCI for 'power analyses' for Cohen's d confidence intervals
- Fix in 'modus' function (for finding the mode of a vector)

0.5-1 2016-11-09

- Minor tweaks to work with newest version of ggplot2
- No longer exporting all functions using regex but explicitly naming them now

0.5-0 2016-11-07

- Power function for Omega Squared was added
- diamondPlot functions were added
- Pander methods for some functions were added
- Some functions to make R more accessible for SPSS users were added (e.g. regr, oneway, examine)
- Confidence intervals implemented in Tukey and Games-Howell posthoc tests\
- Simple interfaces for generating ggplot scatterplots, Q-Q plots, boxplots, barcharts and pie charts were added
- showPearsonPower, a function to show the power of a Pearson correlation was added
- Cohen's d and Omega Squared distributions were added by converting to and from t and F
- A function to detect rare words was added
- Functions to automate figure and table captions in R Markdown/knitr were added
- therapyMonitor was added, a function to aid n-of-1 analyses for therapists
- prevalencePower was added, a function for power analyses for prevalence studies

0.4-0 2015-

- processOpenSesameIAT was added, to process OpenSesame IAT datafiles

0.3-0 2015-04-16

- Fixed powerHist to finally show frequencies with scaled normal curve and density curve
- Fixed a bug in 'oneway'; post-hoc tests now working better
- The 'regr' function now also computes the confidence interval for R^2
- Renamed scaleReliability to scaleStructure and improved it to also provide estimates assuming an ordinal level of measurement as well as hierarchical omega in addition to total omega
- Improved the way p values are reported in rMatrix
- Improved dlvPlot to show both confidence intervals and standard errors

0.2-2 2015-04-07

- Error in getData, that was introduced when it was changed to work better with getDat, corrected
- Way eta^2 is computed in oneway corrected
- A plot can now automatically be ordered when using meanDiff

0.2-1 2015-03-23

- getDat added to automatically create a dataframe
- Minor additions to the conversion functions
- Added and implemented formatPvalue for cleaner p value formatting
- Exported the case insensitive %IN%

0.2-0 2015-02-27

- New function associationMatrix() added, which takes a list of variables and generates a table with confidence intervals of their effect sizes
- New functions freq(), oneway(), and regr() added, which behave similar to SPSS functions to generate frequency tables, oneway anovas, and do simple regression analyses
- New function samplingDistribution() added, which allows quick generation of sampling distributions based on frequency information
- Added didacticPlot(), which builds plots that are useful for watching what happens when doing null hypothesis significance tests
- Added dataShape() so that e1071 is no longer needed for Skewness and Kurtosis in normalityAssessment()
- Added associationMatrix, which enables the creation of matrices with effect sizes and their confidence intervals.

0.1-2 2014-04-21

- testRetestReliability() added to conveniently call both testRetestAlpha() and testRetestCES().
- testRetestAlpha() and testRetestCES() added to compute the test-retest coefficient Alpha and the Coefficient of Equivalence and Stability (CES).
- filterBy() and useAll() added for users coming from SPSS
- convertToNumeric and massConvertToNumeric added to convert vectors to numeric vectors.
- meanDiff.multi improved to generate a forest plot by default, with line at zero to show 'significant' deviations more clearly
- dlvPlot improved to show better confidence intervals and take confidence level into account
- getData() can now also read from .csv, .tsv, .xls, and .xlsx. If ROpenOffice from http://omegahat.org is installed, .ods can be read, too.
- Added is.odd() and is.even() to check whether numbers (or numbers in a vector) are odd or even.

0.1.1 2014-04-17

- Initial Release