Changes in version: SGP_0.8-0.0 NEW FEATURES: o Separated sgpData and sgpData_LONG into new package SGPdata. o Changed name of stateData to SGPstateData. o Added System_Type slot to stateData to indicate whether state uses 'Cohort Referenced', 'Baseline Referenced', or 'Cohort and Baseline Referenced'. o Added Test_Vendor slot to stateData. o Added California data to stateData. o Added New York baseline coefficient matrices to stateData. o Modified stateData to include "Scale_Change" slot in "Assessment_Program_Information" to indicate content area and year when scale has been changed. o Modified stateData and growthAchievementPlot to accomodate states that change vertical scales from one year to next (e.g., Arizona Mathematics). o Improved parallel implementation of baseline SGP coefficient matrix calculation. o Added ability to accomodate year specific knots and boundaries supplied in stateData. o Added Arizona knots and boundaries to stateData. o Began implementing changes utilizing new pointer features in data.table 1.7.3. o Added lag.increment argument to studentGrowthProjections to accomodate state with scale and cutscore changes. o Added knots.boundaries.by.panel argument to studentGrowthProjections to accomodate knots and boundaries calculations by panel (instead of pooling grade level data across panels). o prepareSGP augments instead of overwrites SGP_Package_Version and Date_Prepared keeping more meta data on the construction of the object. o Added function as.splineMatrix to faciliate conversion of older coefficient matrices to S4 class splineMatrix. o Added test of is.splineMatrix to prepareSGP and conversion of coefficient matrices to splineMatrix class otherwise. o Added max.order.for.percentile argument ot studentGrowthPercentiles to limit number of priors used in analyses (which could already be accomplished by a variety of other means). o Added sgp.target.to.NA argument to combineSGP (defaults to TRUE) to change SGP_TARGET and SGP_TARGET_BASELINE to NA when SGP is NA (e.g., for retained students). Thanks for Ayaka Nukui for observation and suggestion. o Added sgPlot.baseline arguement to visualizeSGP to control whether cohort or baseline referenced SGPs are depicted in student growth plots. USER VISIBLE CHANGES: o bubblePlot doesn't load package pdf2 with R version 2.14 or greater until bugs are reconciled with data tips. Use of pdf2 requires R version 2.13.2 or earlier. o analyzeSGP calls to studentGrowthProjections for cohort and lagged projections checks for max.order.for.progression with Scale_Change slot in stateData. This will be required when states switch to either assessment consortium. o Modified growthAchievementPlot call in visualizeSGP to adjust max.order.for.progression based upon previous two changes. o Added argument gaPlot.max.order.for.progression to growthAchievementPlot allowing user to specify maximum order for growthAchievementPlot projection. Useful for states changing scales. o Improved parallel implementation of baseline SGP coefficient matrix calculation. o studentGrowthProjections now checks if current year's data fall within loss.hoss boundaries and corrects if they don't. o Better integrated parallelization routines into analyzeSGP. o Updated analyzeSGP with doSMP to better faciliate parallel analyses in Windows environments. o Continued to optimize studentGrowthPercentiles and studentGrowthProjections functions for better memory mangement and speed. o Created a single baselineSGP function for both use cases previously provided by the baselineSGP and baselineSGPLong functions. o bubblePlot appropriately scales labels provided by argument bubble_plot_data.BUBBLE_CENTER_LABEL. o When knots and boundaries are automatically calculated, only prior scores are used for pooling purposes. Previously both prior and current scores were pooled. o Updated Idaho meta data in stateData including knots, boundaries and organizational information. o studentGrowthProjections now includes arugment calculate.sgps (default to TRUE) that is used to bypass calculations by analyzeSGP in certain special cases (e.g., scale change in state). o Updated Maine metadata to include knots and boundaries. o Changed internal naming implementation of SGP_BASELINE in combineSGP. BUG FIXES: o Refined combineSGP to better accomodate irregular content area and year specifications for both cohort and baseline referenced SGPs. o Corrected bug in bubble_plot_configs.BUBBLE_COLOR where specifying a single color didn't provide the correct color. o studentGrowthProjections now checks for grades in cutscores based upon the supplied subject given in sgp.labels. o Modified sgp.config in analyzeSGP to correctly work with grades supplied as an argument (Thanks to Ayaka Nukui for pointing this out). o Argument grades now correctly passed from abcSGP to analyzeSGP (Thanks to Ayaka Nukui for pointing this out). o Changed incorrect cutscore in state data for advanced level in DEMO data from 509 to 510. o studentGrowthProjections start/stop message now reports correct grade progression when limited number of priors is selected. Changes in version: SGP_0.7-2.0 o prepareSGP now adds an updated Version to an SGP object that is passed to prepareSGP. o In cases where stateData cutscores change by year, studentGrowthProjections correctly chooses annual cutscores to use for projections. o Corrected bug in bubblePlot_Styles that mishandled situation when no ACHIEVEMENT_LEVEL_PRIOR is present. o Updated/correct abcSGP man page. o Refined file naming in bubblePlot_Styles and growthAchievementPlot to change spaces to underscores. o Updated New York cutscores in stateData. o Added Arizona data to stateData. o Added NECAP CSEMs (2010 and 2011) to stateData. o Added Rhode Island Baseline Coefficient Matrices to stateData and added additional Rhode Island data. o Refined abcSGP to not calculate simulated SGPs if missing in stateData for supplied state. o Changed naming of saved baseline coefficient matrix object. o Corrected bug with SCALE_SCOREs and TRANSFORMED_SCALE_SCOREs in growthAchievementPlot. o Modified studentGrowthPercentiles to test for missing years in provided CSEM data. o Refined .mergeSGP in analyzeSGP to increase performance. o Made slight modification to arguments determining whether simulated SGPs will be calculated. o Refined rbind.all in combineSGP to accomodate different annual SGP data calculations (e.g., CSEMs in 2011 but not 2010). o Created arguments to analyzeSGP: sgp.percentiles.baseline.max.order, sgp.projections.baseline.max.order and sgp.projections.lagged.baseline.max.order to control baseline SGP order (defaulting to 3). Changes in version: SGP_0.7-1.0 o Updated Nevada state data for low, typical, and high cutscores. o Added "Percentile Growth Trajectories" to package title. o Rectified argument passing between abcSGP and analyzeSGP for parallel.config argument. Changes in version: SGP_0.7-0.0 o ETHNICITY and GENDER variables are no longer required to create anonymized (random name) student growth plots. Dummy values are created if missing. o Began outputSGP as a function to faciliate output of SGP results in common formats. o Added robust parallelism to analyzeSGP to better facilitate analysis of large scale data sets on multi-core/multi-cpu environments. o Added functionality to combineSGP to merge in baseline student growth percentiles and baseline student growth percentile targets. o Added functionality to analyzeSGP to calculate baseline student growth projections and lagged baseline student growth projections. o Fixed a bug preventing use of provided CSEM variable when supplied as an addition variable in the supplied data.frame. o Fixed a bug in visualizeSGP for studentGrowthPlot production when sgPlot.years is supplied. o Refined scale score axis span and labels in growth achievement plot. o Changed goodness.of.fit default to TRUE with the calculation of baseline student growh percentiles. o Added state test abbreviation to main title of bubble plots. o Refined analyzeSGP and baselineSGP to deal with non-consecutive grades when calculating baseline referenced student growth percentiles. o Added Utah data to stateData. o Fixed naming issue in bubblePlot_Style 2. o Fixed bugs impacting states with non-uniform cutscores by year in bubblePlot_Styles and studentGrowthPlot (Thanks Juan D'Brot). o Fixed a bug preventing users from using their own supplied list of cutscores (Thanks Katherine Castellano). o Added baseline coefficient matrices for Massachusetts to stateData and changed cutscores to match g-theta values used in SGP calculations. o Added baseline coefficient matrices for Nevada to stateData. o Added dummy instructor numbers, weights, and enrollment status to sgpData_LONG. o Changed "Date" slot to "Version" slot in splineMatrix class so that SGP version meta-data was available and consistent with SGP class. o Improved goodness of fit color function that avoids errors when empty cells (i.e., color=NA) occur because of badly misfit data. Changes in version: SGP_0.6-1.0 o Added check on file name to bubblePlot to remove forward slashes "/". Changes in version: SGP_0.6-0.0 o Removed modulo score transformation from stateData as piecewise.transform takes care of this internally. o Changed default of summarizeSGP to calculate multi-year summaries across the 3 most recent years instead of all years except the first two. o Modified visualizeSGP to better faciliate mass production of studentGrowthPlots with parallel back end. o Added studentGrowthPlot_Styles to separate data manipulation from report formatting. o Changed default sgPlot.demo.report in visualizeSGP from TRUE to FALSE. o Added is.SGP to test for SGP class. o Added Version slot to class SGP indicating Version of SGP package used to create SGP object and date object was created. o Modified growthAchievementPlot to depict regions showing college/career readiness if cutscores are available in terminal grade of growth and achievement chart. Changes in version: SGP_0.5-0.0 o Modified functionality to calculate confidence intervals for SGP. calculate.confidence.intervals argument now accepts state acronym and supplied CSEM variable as part of panel.data. o Added Mississippi data to stateData. o Refined and corrected minor bug in .get.config in analyzeSGP. o Improved sgpPlot.cleanup to avoid removing files unintentionally. o Refined parallel implementation in analyzeSGP. Changes in version: SGP_0.4-6.0 o Worked out bug in production of studentGrowthPlots for students with completely missing data. o Added to and corrected stateData for West Virginia. Changes in version: SGP_0.4-5.0 o Added enhanced check to built in knots and boundaries for states. o Fixed a bug in studentGrowthProjections when chunk.size is a perfect divisor of the number of rows of the data. o Refined studentGrowthPlot to accomodate annual cutscore changes in states with a vertical scale (e.g., West Virginia). Thanks Juan D'Brot WVDOE. Changes in version: SGP_0.4-0.0 o Fixed a bug in visualizeSGP that didn't transform projection cuts for the studentGrowthPlot to the transformed scale when necessary. o Improved look of two panel student growth plot. o Improved header to bubblePlots. Thanks to Dr. Sharon Schattgen (MO) for the suggestion. o Added NAMESPACE to package. o Modified DESCRIPTION file to accomodate Authors@R requirements. o Updated West Virginia stateData. o Added Minnesota to stateData. o Made slight tweaks to growthAchievementPlot title. o Added ability for user to supply CSEMs as a separate variable for SGP confidence interval calculations. o Removed eval(eval() calls used for data.table based upon refinements in data.table package. o CATCH_UP_KEEP_UP_STATUS is now a factor instead of (wrongly) a character. o CATCH_UP_KEEP_UP_STATUS_INITIAL variable is now a factor instead of (wrongly) an ordered factor. o studentGrowthPlot and growthAchievementPlot now accommodate the existence of both non-vertical and vertical scales for different content areas in the same state assessment system (e.g., Connecticut). o Fixed exact.grade.progression argument to studentGrowthPercentiles. When set to true, function will calculate coefficient matrix and SGPs (if requested) for just that progression. o Changed name of Variable_Name_Lookup slot in SGP class to Names. o Made minor modifications to growthAchievementPlot to improve the look of growth achievement plots. o Made minor modifications to studentGrowthPlot and visualizeSGP to improve the look of student growth plots. o Updated student growth projections function to allow for skipped percentiles. o Added bubblePlot_Style 10 which shows district schools highlighted against the state. o Made minor modifications to the bubblePlot function allowing better highlighting in the presence of hundreds of bubbles. o Coefficient matrix objects returned from studentGrowthPercentiles are S4 class splineMatrix with Knots and Boundaries and Date slots. o Added wrapper function baselineSGP to facilitate baseline SGP analyses (i.e. multiple cohort norm groups). o Added production of baseline referenced coefficient matrices and student growth percentile functionality to analyzeSGP. Changes in version: SGP_0.3-6.0 o Updated state data to include New Haven School District specific fields including fixed knots and boundaries. o Updated Wisconsin state data to produce growthAchievementPlots and studentGrowthPlots. o growthAchievementPlot now filters out grades not in stateData Grades_Reported. o Changed argument max.forward.progression to max.forward.progression.years and added argument max.forward.progression.grade. Changes in version: SGP_0.3-5.0 o Corrected an offset of 1 in studentGrowthProjections (Thanks for Marie Huchton for finding discrepancies). o Improved header in growthAchievementChart. Changes in version: SGP_0.3-0.0 o Added an example to studentGrowthPercentiles showing how embedded coefficient matrices can be used to calculate student growth percentiles. o Lots of little bug fixes in visualizeSGP, studentGrowthPlt, bubblePlot, and growthAchievmentPlot, particularly when scale is transformed. o In analyzeSGP, the automatic configuration has been improved to better select grade progressions associated with the provided data. o Began adding functionality to use parallel backends from using different parallelization implementations (SNOW, FOREACH, MULTICORE). o studentGrowthProjections now accomodates year dependent cutscores (in situations where states change cutscores). o piecewise.transform function accomodates year dependent cutscores. This impact both studentGrowthPlots and growthAchievementPlots when scale score transformations are employed to view SGP results. Changes in version: SGP_0.2-1.0 o Added functionality to auto-detect state names based upon SGP object name convention: State_Data (e.g. ,Colorado_Data). o Fixed bug allowing users to specify multiple sgp.summaries in summarizeSGP. o Corrected error in achievement level labels in Nevada state data. Changes in version: SGP_0.2-0.0 o prepareSGP returns object of class SGP unaltered and prepares data.frames as before. o abcSGP now passes supplied years and content_areas arguments to combineSGP to allow for year/content area specific merges. This functionality will assist in updating results from year to year. o combineSGP now accepts arguments for years and content_areas allowing for year/content area specific merges. This functionality will assist in updating results from year to year. o Improvement of bubblePlot to better represent situations with hundreds/thousands of bubbles. o Inclusion of growthAchievementPlot that provides plots like that on Betebenner (2009) Educational Measurement: Issues and Practice Article. o Modification of visualizeSGP to allow for automatic use of growthAchievementPlot. o Added arguments to studentGrowthPercentiles and studentGrowthProjections (print.time.taken) to allow user to turn off time.taken message. Defaults to TRUE. o Changed splinefun method for CSEM based confidence interval construction to "natural" due to highly non-monotonic behavior with Wisconsin CSEMs. o Added argument to bubblePlot "bubble_plot_configs.BUBBLE_COLOR_GRADIENT_REVERSE" allowing user to reverse color gradient. Defaults to FALSE. o Changed default summaries in abcSGP to include summary calculations involving ACHIEVEMENT_LEVEL_PRIOR (such as prior percent at/above proficient). o Implemented bug fix associated with data.table in combineSGP function that simplifies data.table implementation of catch-up/keep-up targets. o Supplying a non-traditional/sequential grade.progression argument to studentGrowthPercentiles now removes (unless setting argument drop.nonsequential.grade.progression.variables=FALSE) supplied panel.data columns from "holes" in the supplied grade.progression. Changes in version: SGP_0.1-0.0 o Implementation of SGP class. o Specified state specific percentile trajectories for student growth projections and stipulated max.forward.progression of 3 years for these trajectories. o Fixed bugs related to bootstrap calculating confidence intervals for all groups instead of those specified. o Completed reportSGP. o Added New Jersey to stateData. Changes in version: SGP_0.0-8.5 o Changed analyzeSGP so that it calculates plus/minus 1 standard error confidence bands on individual SGPs by default. o Added bootstrap confidence intervals to summarizeSGP. o Added West Virginia to stateData. o Added Nevada knots and boundaries to stateData. o studentGrowthPercentiles can now access CSEM by year from stateData if available. o Consolidated timing messages in studentGrowthPercentiles and studentGrowthProjections at end of function. Changes in version: SGP_0.0-8.0 o Implemented more intelligent error handling for missing arguments in studentGrowthPercentiles and studentGrowthProjections passed from analyzeSGP. o Change default argument for simulate.sgps in analyzeSGP to TRUE. o Added Georgia and Nevada to stateData. o combineSGP now creates CATCH_UP_KEEP_UP_STATUS and CATCH_UP_KEEP_UP_STATUS_INITIAL variables if requesting lagged projections. o Parallelized analyzeSGP using foreach. o Fixed incorrect naming of percentile cuts in studentGrowthProjections function. o Achievement Level in sgpData_LONG is now an ORDERED factor. o Corrected numerous bugs in studentGrowthProjections (Thanks to New Hampshire Department of Education/Deb Wiswell and Tim Kurtz) that led to incorrect catch-up/keep-up results. Changes in version: SGP_0.0-7.0 o Changed LICENSE to Creative Commons CC BY-NC-SA 3.0 and CC BY-SA 3.0 for graphics producing and non-graphics producing functions, respectively. o combineSGP now calculates SGP targets based upon catch-up/keep-up to proficient growth-to-standard recommendations. o Cleaned up documentation for analyzeSGP, combineSGP, and summarizeSGP. o Fixed numerous bugs in analyzeSGP, combineSGP, and summarizeSGP. o Added Missouri, New York, Colorado, and Massachusetts CSEMs to stateData. o Added two graphical functions bubblePlot and studentGrowthPlot to the package. o Added fields to sgpData_LONG including IEP_STATUS, DISTRICT_NUMBER, DISTRICT_NAME, SCHOOL_ENROLLMENT_STATUS, DISTRICT_ENROLLMENT_STATUS, STATE_ENROLLMENT_STATUS to better reflect the structure of state data sets. Changes in version: SGP_0.0-6.9 o Added additional argument to studentGrowthPercentiles, growth.levels, allowing user to get a variable indicating the level of growth based upon state or user specified cuts and labels. o Changed my.grade argument in sgp.labels to my.extra.label to better reflect nature of argument. This argument is now available in use.my.knots.boundaries and use.my.coefficient.matrices in both the studentGrowthPercentiles and studentGrowthProjections functions. o Changed output names of studentGrowthProjections results to better indicate GRADE. o Changed compression on stateData file to xz. o Changed default values of projection.unit and projcut.digits in studentGrowthProjections to GRADE and 0, respectively. o Added wrapper functions prepareSGP, analyzeSGP, combineSGP, and summarizeSGP to facilitate operational SGP analyses. o use.my.knots.boundaries with studentGrowthProjections now allows state to be supplied. o Added time elapsed to studentGrowthPercentiles and studentGrowthProjections print out. o Fixed bugs and updated documentation/examples. o Added requirement to data.table depends for version >= 1.5.3. o Changed default of percentile.trajectory.values from 1:99 to NULL (which seemed much more sensible). Changes in version: SGP_0.0-6.8 o Includes additional dummy data set, sgpData_LONG, to be used in upcoming operational examples. o Updated documentation. o studentGrowthPercentiles outputs SGPs as integer instead of numeric. o studentGrowthProjections outputs SGP cuts as integer instead of numeric. o Fixed bug on how studentGrowthPercentiles handles panel.data supplied as a matrix. Changes in version: SGP_0.0-6.7 o Added functionality to calculate confidence intervals (calculate.confidence.intervals) of student growth percentiles using CSEMs from state assessment data. o Added argument print.sgp.order to request that the order of the student growth percentile be provided as well as the student growth percentile. o Integrated data.table functionality into studentGrowthPercentiles function to significantly increase speed of some calculations. o Removed INDEX file from package. o studentGrowthPercentiles now converts all input scores to numeric. o Added data to stateData file. Changes in version: SGP_0.0-6.6 o For use.my.knots.and.boundaries user can now supply a two letter state acronym to access embedded, baseline knots and boudaries compiled from work with states. o Fixed goodness of fit printouts so that they show appropriate number of digits. o Fixed DESCRIPTION and eliminated NAMESPACE file. o Added extensive documentation to stateData file and fixed typos. o Updated documentation. o Added date() to finishing message when studentGrowthPercentiles completes an analysis. o Added exact.grade.progression option to studentGrowthPercentiles to accomodate rare situations where one wants the exact grade progression supplied to be run. Changes in version: SGP_0.0-6.5 o Added my.grade to sgp.labels to accomodate situations where my.year and my.subject are not unique. o Fixed bugs associated with use of data.tables. o Changed license to GPL-3. o Fixed bug associated with argument print.other.gp=TRUE. Changes in version: SGP_0.0-6.4 o Fixed bug associated with goodness-of-fit table production when no SGPs are requested. o Fixed studentGrowthPercentiles function to work with character grade levels as well as numeric. Changes in version: SGP_0.0-6.3 o Fixed issue with argument calculate.sgps in studentGrowthPercentile function. Changes in version: SGP_0.0-6.2 o Cleaned up documentation. o Corrected data.table bug in studentGrowthProjections. Changes in version: SGP_0.0-6.1 o Fixed scoping issue with data.table implementation in studentGrowthProjections. Changes in version: SGP_0.0-6 o studentGrowthPercentiles and studentGrowthProjections function now produce a list with results (Knot_Boundaries, Coefficient_Matrices, Goodness_of_Fit, SGPercentiles, SGProjections) embedded. o studentGrowthPercentiles and studentGrowthProjections currently accept any number of panels and no longer limited to datasets of at most 8 panels. o studentGrowthPercentiles now accepts argument panel.data.vnames allowing user to specify a subset of variables from supplied data for analysis. o studentGrowthPercentiles now accepts argument grade.progression allowing user to specify a not necessarily consecutive grade progression to perform analyses. o studentGrowthPercentiles now accepts argument use.my.coefficient.matrices allowing user to specify pre-calculated coefficient matrices for student growth percentile calculation. o studentGrowthPercentiles now automatically calculates maximum number of priors unless when using the grade.progression argument. o studentGrowthPercentiles can calculate student growth percentiles on panel data without any filtering on columns/fields. o studentGrowthPercentiles now defaults to providing NO percentile cuts associated with each conditional distribution. The function used to provide 1st, 35th, 65th, and 99th percentile cuts. o Knots_Boundaries now also includes a field for loss (lowest obtainable scale score) and hoss (highest obtainable scale score) named "loss.hoss". o Boundaries that are automatically calculated by the function now extend 10 percent beyond the range to better accomodate scale extension over time. Previous was 1 percent. o studentGrowthPercentiles now accepts boolean argument calculate.sgps controling whether function actually produces student growth percentiles (possibly just stopping after calculating coefficient matrices) o studentGrowthPercentiles now accepts argument knot.percentile.cuts allowing user to specify the quantile cuts used for knot calculation. Defaults to c(0.2,0.4,0.6,0.8). o studentGrowthPercentiles now accepts argument sgp.quantiles allowing user to specify the quantiles used for studentGrowthPercentile calculations (i.e., not always percentiles) o studentGrowthProjections projects out an arbitrary number of grades/years/time periods. o studentGrowthProjections no longer accepts argument num.panels, num.prior.scores, max.num.scores and instead uses the arguments grade.progression and max.forward.progressionand tries to internally select maximum order possible for a students percentile.growth projection/trajectory. o studentGrowthProjections now accepts argument performance.level.cutscores that can utilize state assessment cutscores available within the SGP package. o studentGrowthProjections now accepts argument projection.unit that allows percentile growth projections/trajectories to be displayed in terms of either GRADE or YEAR. o Embedded goodness_of_fit plots are Grid grobs (Grid graphical objects) that can be printed as PDFs (see help for code to produce PDFs of goodness.of.fit plots). o sgpData, the included longitudinal student assessment data file, has been expanded to 5 panels to better illustrate SGP functionality. o Includes list stateData to provide state specific information for analyses and reporting. stateData currently includes only performance level cutscores. o Updated help file to reflect changes in functions. Changes in version: SGP_0.0-5 o Moved CITATION file to inst directory o Fixed minor bugs in studentGrowthPercentiles function. Changes in version: SGP_0.0-4 o Added LICENSE file including details on the Creative Commons Attribution-Noncommercial-Share Alike 3.0 United State License. o Added Goodness-of-fit argument/option/capability to studentGrowthPercentiles function. o Incorporated vignette. o Cleaned up documentation. o Increased percentile growth trajectory/projection to four years from three. o Fixed minor bugs in studentGrowthProjections (Thanks to Bob Lee for finding these). Changes in version: SGP_0.0-3 o Included option/argument in studentGrowthPercentiles function to avoid quantile crossing based upon Dette & Volgushev (2008) o Cleaned up minor errors in documentation. o Added optional argument, convert.using.loss.hoss, to studentGrowthPercentiles to convert percentile cuts extended below/above the lowest obtainable scale score/highest obtainable scale score (loss/hoss) to the loss/hoss (defaults to TRUE). Changes in version: SGP_0.0-2 o Updated Contributors. o Changed rounding of percentile cuts used for growth percentile calculation to 5 decimal places. o Changed rounding of automatically produced B-spline knots to 2 decimal places. o Extended range of automatically produced B-spline boundaries. o Added optional argument, percuts.digits, to studentGrowthPercentiles to allow specification of rounding digits for growth percentile cuts (defaults to 2). o Added optional argument, percentile.trajectories, to studentGrowthProjections allowing the function to return 1, 2, and 3 year student percentile trajectories based upon supplied percentile values (defaults to 10th, 35th, 50th, 65th, and 90th). o Added optional argument, projcuts.digits, to studentGrowthProjections to allow specification of rounding digits for percentile trajectory cuts (defaults to 2). Changes in version: SGP_0.0-1 o Package Released.