nsc_prep: Prepares and writes files for the National Student...

In spirgel/nscprepr: Prepares and Writes Files to Submit to the National Student Clearinghouse

Description

Prepares and writes files for submission to the National Student Clearinghouse's StudentTracker service. For more details on the fields (and what they mean) required by the service, please visit < http://www.studentclearinghouse.org/colleges/files/ST_ExcelInstructions.pdf>

Usage

nsc_prep(data = NULL, institution_code = NULL, branch_code = NULL,
  institution_name = NULL, inquiry_type = NULL)

Arguments

data	A data frame containing the following columns (the definitions of the columns are provided in parentheses after the column names): first (student's first name), middle (student's middle name or initial), last (student's last name), suffix (suffix to student's name), dob (student's date-of-birth, in the format mm/dd/yyyy), id (identifier information), search_date (search begin date, in the format mm/dd/yyyy). For the date columns, single digit months and day can be provided as either one digit (e.g., 9) or two digits (e.g., 09).
institution_code	Six digit school code
branch_code	Two digit branch code
institution_name	Institution name
inquiry_type	"SE", "DA", "PA", "SB", "CO"

Examples

# create a data frame
df <- data.frame(first = c("Ruth", "William", "Sandra"),
             middle = c("Bader", "J.", "D"),
             last = c("Ginsburg", "Brennan", "O'Connor"),
             suffix = c("", "Jr.", ""),
             dob = c("3/15/1933", "5/25/1906", "03/26/1930"),
             id = c(1, 2, 3),
             search_date = c("1/1/1952", "6/01/1930", "8/5/1971"))

# prepare and write a file to the working directory that is ready for
# submission to the Clearinghouse's StudentTracker service
nsc <- nsc_prep(data = df, institution_code = "001509", branch_code = "00",
                institution_name = "Nova Southeastern University",
                inquiry_type = "SE")

spirgel/nscprepr documentation built on May 24, 2019, 7:20 a.m.