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POPatterns for reshape in R
 

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  1. POPatterns for reshape in R
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    <p>I have a dataframe that I want to reshape; my reshape code:</p> <pre><code>matchedlong &lt;- reshape(matched, direction = 'long', varying = c(29:33, 36:3943), v.names = c("Math34", "TFCIn"), times = 2006:2009, idvar = "schoolnum") </code></pre> <p>in <code>matched</code> columns 36 to 39 are logical (<code>TRUE</code> <code>FALSE</code>) but in <code>matchedlong</code> they have turned into numbers somehow .... No clear pattern to the numbers. </p> <p>what is causing this?</p> <p>Sample data:</p> <pre><code>example.data &lt;- structure(list(Grade_Range_2008 = structure(c(14L, 14L, 40L, 40L, 36L, 13L), .Label = c("3-5, UE", "4-5, UE", "4-8, UE, US", "5-10, UE, US", "5-8, 10, UE, US", "5-8, UE, US", "5-9, UE, US", "6-11, US", "6-12, UE, US", "6-7, UE, US", "6-8, 10, UE, US", "6-8, UE", "6-8, UE, US", "6-9, UE, US", "6, UE", "7-10, US", "7-8, US", "8-Jun", "8-May", "K-3", "K-3, UE", "K-4, UE", "K-5", "K-5, UE", "K-6, UE", "K-8", "K-8, UE", "K-8, UE, US", "K, 2-5, UE", "N/A", "PK-3, UE", "PK-4, UE", "PK-5, 10, UE", "PK-5, 7-9, UE, US", "PK-5, 8, UE", "PK-5, UE", "PK-6, 10, UE", "PK-6, UE", "PK-8, UE", "PK-8, UE, US"), class = "factor"), X__of_Yrs_in_school = c(0L, 0L, 0L, 0L, 0L, 0L), Total_Enrollment_2008 = c(348L, 444L, 636L, 495L, 319L, 410L), Free_Lunch_pct_2008 = c(75L, 89L, 94L, 89L, 89L, 91L), Reduced_Lunch_pct_2008 = c(6L, 6L, 3L, 4L, 5L, 4L), Stability_pct_2008 = c(89L, 93L, 100L, 98L, 92L, 81L), Limited_Eng__Prof__pct_2008 = c(8L, 20L, 8L, 10L, 19L, 19L), Am__Ind_pct_2008 = c(1L, 2L, 0L, 2L, 0L, 2L), Black_pct_2008 = c(41L, 39L, 28L, 33L, 32L, 38L), Hispanic_pct_2008 = c(55L, 59L, 70L, 61L, 65L, 57L), Asian_pct_2008 = c(2L, 1L, 0L, 2L, 1L, 1L), White_pct_2008 = c(2L, 0L, 1L, 2L, 1L, 2L), Multi_pct_2008 = c(0L, 0L, 0L, 0L, 0L, 0L), w_o_Valid_Cert__N_2008 = c(4L, 0L, 1L, 0L, 1L, 1L), w_o_Valid_Cert__pct_2008 = c(11L, 0L, 2L, 0L, 3L, 5L), Teaching_Out_of_Certification_N_ = c(7L, 7L, 2L, 13L, 3L, 4L), Teaching_Out_of_Certification_pc = c(20L, 15L, 4L, 25L, 9L, 18L), X_3_yrs__Exp_N_2008 = c(12L, 13L, 5L, 12L, 5L, 5L), X_3_yrs__Exp_pct_2008 = c(34L, 28L, 11L, 24L, 15L, 23L), Masters_Plus_N_2008 = c(6L, 11L, 15L, 10L, 16L, 8L), Masters_Plus___2008 = c(17L, 23L, 32L, 20L, 47L, 36L), Core_Classes_N_2008 = c(78L, 142L, 49L, 91L, 22L, 49L ), Core_Not_Taught_by_HQ_Teachers_p = c(23L, 6L, 2L, 24L, 9L, 20L), Number_of_Classes_N_2008 = c(93L, 193L, 56L, 119L, 33L, 68L), Clases_Not_taught_by_App__Cert__ = c(18L, 18L, 2L, 37L, 3L, 13L), Clases_Not_taught_by_App__Cert_0 = c(19L, 9L, 4L, 31L, 9L, 19L), Turnover_Rate_of_Teachers_with__ = c(31L, 56L, 20L, 32L, 0L, 50L), Turnover_Rate_all_Teachers_pct_2 = c(42L, 29L, 17L, 30L, 14L, 49L), Math_Level_3_4_pct_2006 = c(5.1, 16.4, 58.2, 34.4, 48.9, 12.4), Math_Level_3_4_pct_2007 = c(15.2, 22.1, 65.7, 29.9, 70.5, 22.6), Math_Level_3_4_pct_2008 = c(29.9, 43.2, 69.8, 41.2, 78.9, 38.5), Math_Level_3_4_pct_2009 = c(50.7, 49.7, 80.7, 47.1, 83.9, 51.6), Att__pct_2005 = c(0.83, 0.86, 0.89, 0.9, 0.89, 0.87), Susp__pct_2005 = c(6L, 15L, 1L, 4L, 0L, 3L), schoolnum = c(4013, 4045, 4096, 4101, 4102, 4117 ), In_2006 = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), In_2007 = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), In_2008 = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), In_2009 = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE), weights = c(1, 1, 1, 1, 1, 1 )), .Names = c("Grade_Range_2008", "X__of_Yrs_in_school", "Total_Enrollment_2008", "Free_Lunch_pct_2008", "Reduced_Lunch_pct_2008", "Stability_pct_2008", "Limited_Eng__Prof__pct_2008", "Am__Ind_pct_2008", "Black_pct_2008", "Hispanic_pct_2008", "Asian_pct_2008", "White_pct_2008", "Multi_pct_2008", "w_o_Valid_Cert__N_2008", "w_o_Valid_Cert__pct_2008", "Teaching_Out_of_Certification_N_", "Teaching_Out_of_Certification_pc", "X_3_yrs__Exp_N_2008", "X_3_yrs__Exp_pct_2008", "Masters_Plus_N_2008", "Masters_Plus___2008", "Core_Classes_N_2008", "Core_Not_Taught_by_HQ_Teachers_p", "Number_of_Classes_N_2008", "Clases_Not_taught_by_App__Cert__", "Clases_Not_taught_by_App__Cert_0", "Turnover_Rate_of_Teachers_with__", "Turnover_Rate_all_Teachers_pct_2", "Math_Level_3_4_pct_2006", "Math_Level_3_4_pct_2007", "Math_Level_3_4_pct_2008", "Math_Level_3_4_pct_2009", "Att__pct_2005", "Susp__pct_2005", "schoolnum", "In_2006", "In_2007", "In_2008", "In_2009", "weights"), row.names = c(1L, 4L, 7L, 8L, 11L, 12L), class = "data.frame") </code></pre>
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