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R column headers newline split

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Oct 24th, 2012
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  1. column_names_test.1 <- c("County Code/DFG/Aggregation Code", "District Code", "School Code", "County Name", "District Name", "School Name", "DFG", "Special Needs", "TOTAL POPULATION TOTAL POPULATION Number Enrolled LAL", "TOTAL POPULATION LANGUAGE ARTS Number Not Present", "TOTAL POPULATION LANGUAGE ARTS Number of Voids", "TOTAL POPULATION LANGUAGE ARTS Number APA", "TOTAL POPULATION LANGUAGE ARTS Number of Valid Scale Scores", "TOTAL POPULATION LANGUAGE ARTS Partially Proficient Percentage", "TOTAL POPULATION LANGUAGE ARTS Proficient Percentage", "TOTAL POPULATION LANGUAGE ARTS Advanced Proficient Percentage", "TOTAL POPULATION LANGUAGE ARTS Scale Score Mean", "TOTAL POPULATION MATHEMATICS Number Enrolled Math", "TOTAL POPULATION MATHEMATICS Number Not Present", "TOTAL POPULATION MATHEMATICS Number of Voids", "TOTAL POPULATION MATHEMATICS Number APA", "TOTAL POPULATION MATHEMATICS Number of Valid Scale Scores", "TOTAL POPULATION MATHEMATICS Partially Proficient Percentage", "TOTAL POPULATION MATHEMATICS Proficient Percentage", "TOTAL POPULATION MATHEMATICS Advanced Proficient Percentage", "TOTAL POPULATION MATHEMATICS Scale Score Mean", "TOTAL POPULATION SCIENCE Number Enrolled Science", "TOTAL POPULATION SCIENCE Number Not Present", "TOTAL POPULATION SCIENCE Number of Voids", "TOTAL POPULATION SCIENCE Number APA", "TOTAL POPULATION SCIENCE Number of Valid Scale Scores", "TOTAL POPULATION SCIENCE Partially Proficient Percentage", "TOTAL POPULATION SCIENCE Proficient Percentage", "TOTAL POPULATION SCIENCE Advanced Proficient Percentage", "TOTAL POPULATION SCIENCE Scale Score Mean", "GENERAL EDUCATION GENERAL EDUCATION Number Enrolled LAL", "GENERAL EDUCATION LANGUAGE ARTS Number Not Present", "GENERAL EDUCATION LANGUAGE ARTS Number of Voids", "GENERAL EDUCATION LANGUAGE ARTS Number APA", "GENERAL EDUCATION LANGUAGE ARTS Number of Valid Scale Scores", "GENERAL EDUCATION LANGUAGE ARTS Partially Proficient Percentage", "GENERAL EDUCATION LANGUAGE ARTS Proficient Percentage", "GENERAL EDUCATION LANGUAGE ARTS Advanced Proficient Percentage", "GENERAL EDUCATION LANGUAGE ARTS Scale Score Mean", "GENERAL EDUCATION MATHEMATICS Number Enrolled Math", "GENERAL EDUCATION MATHEMATICS Number Not Present", "GENERAL EDUCATION MATHEMATICS Number of Voids", "GENERAL EDUCATION MATHEMATICS Number APA", "GENERAL EDUCATION MATHEMATICS Number of Valid Scale Scores", "GENERAL EDUCATION MATHEMATICS Partially Proficient Percentage", "GENERAL EDUCATION MATHEMATICS Proficient Percentage", "GENERAL EDUCATION MATHEMATICS Advanced Proficient Percentage", "GENERAL EDUCATION MATHEMATICS Scale Score Mean", "GENERAL EDUCATION SCIENCE Number Enrolled Science", "GENERAL EDUCATION SCIENCE Number Not Present", "GENERAL EDUCATION SCIENCE Number of Voids", "GENERAL EDUCATION SCIENCE Number APA", "GENERAL EDUCATION SCIENCE Number of Valid Scale Scores", "GENERAL EDUCATION SCIENCE Partially Proficient Percentage", "GENERAL EDUCATION SCIENCE Proficient Percentage", "GENERAL EDUCATION SCIENCE Advanced Proficient Percentage")
  2.  
  3. column_names_test.2 <- c("GENERAL EDUCATION SCIENCE Scale Score Mean", "SPECIAL EDUCATION SPECIAL EDUCATION Number Enrolled LAL", "SPECIAL EDUCATION LANGUAGE ARTS Number Not Present", "SPECIAL EDUCATION LANGUAGE ARTS Number of Voids", "SPECIAL EDUCATION LANGUAGE ARTS Number APA", "SPECIAL EDUCATION LANGUAGE ARTS Number of Valid Scale Scores", "SPECIAL EDUCATION LANGUAGE ARTS Partially Proficient Percentage", "SPECIAL EDUCATION LANGUAGE ARTS Proficient Percentage", "SPECIAL EDUCATION LANGUAGE ARTS Advanced Proficient Percentage", "SPECIAL EDUCATION LANGUAGE ARTS Scale Score Mean", "SPECIAL EDUCATION MATHEMATICS Number Enrolled Math", "SPECIAL EDUCATION MATHEMATICS Number Not Present", "SPECIAL EDUCATION MATHEMATICS Number of Voids", "SPECIAL EDUCATION MATHEMATICS Number APA", "SPECIAL EDUCATION MATHEMATICS Number of Valid Scale Scores", "SPECIAL EDUCATION MATHEMATICS Partially Proficient Percentage", "SPECIAL EDUCATION MATHEMATICS Proficient Percentage", "SPECIAL EDUCATION MATHEMATICS Advanced Proficient Percentage", "SPECIAL EDUCATION MATHEMATICS Scale Score Mean", "SPECIAL EDUCATION SCIENCE Number Enrolled Science", "SPECIAL EDUCATION SCIENCE Number Not Present", "SPECIAL EDUCATION SCIENCE Number of Voids", "SPECIAL EDUCATION SCIENCE Number APA", "SPECIAL EDUCATION SCIENCE Number of Valid Scale Scores", "SPECIAL EDUCATION SCIENCE Partially Proficient Percentage", "SPECIAL EDUCATION SCIENCE Proficient Percentage", "SPECIAL EDUCATION SCIENCE Advanced Proficient Percentage", "SPECIAL EDUCATION SCIENCE Scale Score Mean", "LIMITED ENGLISH PROFICIENT (current + former) LIMITED ENGLISH PROFICIENT (current + former) Number Enrolled LAL", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Number Not Present", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Number of Voids", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Number APA", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Number of Valid Scale Scores", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Partially Proficient Percentage", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Proficient Percentage", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Advanced Proficient Percentage", "LIMITED ENGLISH PROFICIENT (current + former) LANGUAGE ARTS Scale Score Mean", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Number Enrolled Math", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Number Not Present", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Number of Voids", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Number APA", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Number of Valid Scale Scores", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Partially Proficient Percentage", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Proficient Percentage", "LIMITED ENGLISH PROFICIENT (current + former) MATHEMATICS Advanced Proficient Percentage")
  4.  
  5. column_names_test_combined <- c(column_names_test.1, column_names_test.2)
  6.  
  7. for (i in 1:length(column_names_test_combined)) {
  8. print(paste(i,column_names_test_combined[i]))
  9. }
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