Utility function used to analyze supplied long data or an existing SGP class object to identify potential course progressions suitable for analysis with `analyzeSGP`

, `studentGrowthPercentiles`

, etc. See examples for more information.

courseProgressionSGP(
sgp_object,
lag.direction=c("FORWARD", "BACKWARD"),
year)

## Arguments

sgp_object |
Either a panel data set in long form or an object of class SGP. See embedded `sgpData_LONG` data set for an exemplar. |

lag.direction |
Character string indicating whether the progressions should be produced prospectively or retrospectively. |

year |
Character indicating the value of YEAR that is the focus of analysis. |

## Value

Function returns a nested `list`

class object. The final node of each nested list is a `data.table`

which summarizes the number of students with a particular GRADE by CONTENT_AREA by YEAR course progression

## See also

`sgpData_LONG`

## Examples

not_run({
## Run courseProgressionSGP on the subset of the long data that contains
## ONLY mathematics related records (would realistically also contain EOCT math courses)
Math_Data <- subset(SGPdata::sgpData_LONG, CONTENT_AREA == "MATHEMATICS")
Math_Progressions <- courseProgressionSGP(Math_Data, lag.direction= "BACKWARD", year="2015_2016")
## Examine results for Adcademic Year 2015-2016, 5th grade Mathematics.
Math_Progressions[['BACKWARD']][['2015_2016']][['MATHEMATICS.05']]
Math_Progressions[['BACKWARD']][['2015_2016']][['MATHEMATICS.05']][COUNT>100]
})