Walkthrough 01 - Processed dataset (for modeling with random forests) from students on their motivation and achievement in online science classes.

sci_mo_with_text

Format

Dataset of class tibble.

Source

John Ranellucci and Joshua Rosenberg

Examples

str(dataedu::sci_mo_with_text)
#> tibble [606 × 74] (S3: spec_tbl_df/tbl_df/tbl/data.frame) #> $ student_id : num [1:606] 43146 44638 47448 47979 48797 ... #> $ course_id : chr [1:606] "FrScA-S216-02" "OcnA-S116-01" "FrScA-S216-01" "OcnA-S216-01" ... #> $ total_points_possible: num [1:606] 3280 3531 2870 4562 2207 ... #> $ total_points_earned : num [1:606] 2220 2672 1897 3090 1910 ... #> $ percentage_earned : num [1:606] 0.677 0.757 0.661 0.677 0.865 ... #> $ subject : chr [1:606] "FrScA" "OcnA" "FrScA" "OcnA" ... #> $ semester : chr [1:606] "S216" "S116" "S216" "S216" ... #> $ section : chr [1:606] "02" "01" "01" "01" ... #> $ Gradebook_Item : chr [1:606] "POINTS EARNED & TOTAL COURSE POINTS" "ATTEMPTED" "POINTS EARNED & TOTAL COURSE POINTS" "POINTS EARNED & TOTAL COURSE POINTS" ... #> $ Grade_Category : logi [1:606] NA NA NA NA NA NA ... #> $ final_grade : num [1:606] 93.5 81.7 88.5 81.9 84 ... #> $ Points_Possible : num [1:606] 5 10 10 5 438 5 10 10 443 5 ... #> $ Points_Earned : num [1:606] NA 10 NA 4 399 NA NA 10 425 2.5 ... #> $ Gender : chr [1:606] "M" "F" "M" "M" ... #> $ q1 : num [1:606] 5 4 5 5 4 NA 5 3 4 NA ... #> $ q2 : num [1:606] 4 4 4 5 3 NA 5 3 3 NA ... #> $ q3 : num [1:606] 4 3 4 3 3 NA 3 3 3 NA ... #> $ q4 : num [1:606] 5 4 5 5 4 NA 5 3 4 NA ... #> $ q5 : num [1:606] 5 4 5 5 4 NA 5 3 4 NA ... #> $ q6 : num [1:606] 5 4 4 5 4 NA 5 4 3 NA ... #> $ q7 : num [1:606] 5 4 4 4 4 NA 4 3 3 NA ... #> $ q8 : num [1:606] 5 5 5 5 4 NA 5 3 4 NA ... #> $ q9 : num [1:606] 4 4 3 5 NA NA 5 3 2 NA ... #> $ q10 : num [1:606] 5 4 5 5 3 NA 5 3 5 NA ... #> $ time_spent : num [1:606] 1555 1383 860 1599 1482 ... #> $ TimeSpent_hours : num [1:606] 25.9 23 14.3 26.6 24.7 ... #> $ TimeSpent_std : num [1:606] -0.181 -0.308 -0.693 -0.148 -0.235 ... #> $ int : num [1:606] 5 4.2 5 5 3.8 4.6 5 3 4.2 NA ... #> $ pc : num [1:606] 4.5 3.5 4 3.5 3.5 4 3.5 3 3 NA ... #> $ uv : num [1:606] 4.33 4 3.67 5 3.5 ... #> $ enrollment_status : chr [1:606] "Approved/Enrolled" "Approved/Enrolled" "Approved/Enrolled" "Approved/Enrolled" ... #> $ enrollment_reason : chr [1:606] "Course Unavailable at Local School" "Course Unavailable at Local School" "Other" "Course Unavailable at Local School" ... #> $ cogproc : num [1:606] 15.07 7.11 15.17 14.51 16.69 ... #> $ male : num [1:606] 0.512 0 0.111 0 0 ... #> $ female : num [1:606] 0.167 0 0.152 0 0.426 ... #> $ friend : num [1:606] 0 0 0.0127 0 0 ... #> $ family : num [1:606] 0.00605 0 0.08488 0 0 ... #> $ social : num [1:606] 6.2 6.14 5.05 6.13 7.53 ... #> $ sad : num [1:606] 0.181 0 0.091 0 0.435 ... #> $ anger : num [1:606] 0.419 0 0.141 0.108 0.106 ... #> $ anx : num [1:606] 0.08 0 0.275 0.788 0.545 ... #> $ negemo : num [1:606] 1.14 0 1.42 1.15 1.28 ... #> $ posemo : num [1:606] 3.56 19.01 2.91 5.59 3.79 ... #> $ affect : num [1:606] 4.76 19.01 4.33 6.74 5.08 ... #> $ quant : num [1:606] 2.05 2.74 3.25 3.21 2.55 ... #> $ number : num [1:606] 0.913 3.473 2.307 0.257 0.213 ... #> $ interrog : num [1:606] 1.286 0.443 1.787 1.103 1.715 ... #> $ compare : num [1:606] 2.42 4.15 3.9 2.7 3.94 ... #> $ adj : num [1:606] 5.11 5.48 5.61 5.21 4.62 ... #> $ verb : num [1:606] 18.1 11 16.3 16.3 17.1 ... #> $ negate : num [1:606] 1.206 0 1.681 1.13 0.748 ... #> $ conj : num [1:606] 5.57 6.66 5.37 6.2 7.24 ... #> $ adverb : num [1:606] 6.24 6.66 5.82 5.31 6.49 ... #> $ auxverb : num [1:606] 11.3 9.25 10.23 8.89 9.49 ... #> $ prep : num [1:606] 12.3 11.8 12.1 13.6 12.8 ... #> $ article : num [1:606] 7.83 2.22 6.77 9.12 9.83 ... #> $ ipron : num [1:606] 6.94 2.74 5.15 4.33 7.84 ... #> $ they : num [1:606] 1.01 0 0.843 1.863 0.098 ... #> $ shehe : num [1:606] 0.543 0 0.17 0 0.426 ... #> $ you : num [1:606] 1.74 3.47 1.15 2.05 2.62 ... #> $ we : num [1:606] 0.0658 0 0.0332 0.302 0.491 ... #> $ i : num [1:606] 3.65 7.99 4.69 3.45 3.14 ... #> $ ppron : num [1:606] 7.01 11.47 6.88 7.66 6.78 ... #> $ pronoun : num [1:606] 14 14.2 12 12.2 14.6 ... #> $ function : num [1:606] 55.2 44.6 49.4 53.1 57.5 ... #> $ Dic : num [1:606] 86.3 86.3 80.7 86.5 90.5 ... #> $ Sixltr : num [1:606] 20.9 22.2 20.8 21.8 15.3 ... #> $ WPS : num [1:606] 17.41 9.83 17.92 18.82 15.66 ... #> $ Tone : num [1:606] 56.6 96.4 49.4 78.4 55.4 ... #> $ Authentic : num [1:606] 44.1 70.3 41.2 49 42.2 ... #> $ Clout : num [1:606] 49.5 53.6 40.1 53.1 54.1 ... #> $ Analytic : num [1:606] 55.7 56 59 70 55.8 ... #> $ WC : num [1:606] 88.3 34.7 69.3 61.2 47.1 ... #> $ n : num [1:606] 38 3 41 10 10 2 21 18 31 37 ...