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ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit from .r
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"))
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
# + Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
# + , Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
# + ) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"))
# # A tibble: 191 x 10
# Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q3138rowMeansReverseCoded Q3138rowSumsReverseCoded
# <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl> <dbl>
# 1 NA NA NA NA NA NA NA NA NA NA
# 2 1 2 3 3 4 4 2 3 3.25 26
# 3 3 3 2 2 3 4 3 3 3.12 25
# 4 NA NA NA NA NA NA NA NA NA NA
# 5 3 1 4 1 3 5 3 2 4 32
# 6 3 3 2 2 4 4 2 2 3.5 28
# 7 1 3 3 2 3 5 2 2 3.38 27
# 8 NA NA NA NA NA NA NA NA NA NA
# 9 2 2 2 1 2 3 3 2 3.12 25
# 10 2 4 1 1 1 1 3 1 2.5 20
# # ... with 181 more rows
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
, Q4044rowMeans = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44)/5 # remove labels
, Q4044rowSums = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44) # remove labels
) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044"))
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
# + Q3138rowMeansReverseCoded = (Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8
# + , Q3138rowSumsReverseCoded = Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38
# + , Q4044rowMeans = (Q40 + Q41 + Q42 + Q43 + Q44)/5
# + , Q4044rowSums = Q40 + Q41 + Q42 + Q43 + Q44
# + ) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044"))
# # A tibble: 191 x 17
# Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q3138rowMeansReverseCoded Q3138rowSumsReverseCoded Q40 Q41 Q42 Q43 Q44 Q4044rowMeans Q4044rowSums
# <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl>
# 1 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
# 2 1 2 3 3 4 4 2 3 3.25 26 4 4 5 4 3 4 20
# 3 3 3 2 2 3 4 3 3 3.125 25 2 3 1 3 3 2.4 12
# 4 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
# 5 3 1 4 1 3 5 3 2 4 32 4 4 2 4 5 3.8 19
# 6 3 3 2 2 4 4 2 2 3.5 28 4 4 4 4 5 4.2 21
# 7 1 3 3 2 3 5 2 2 3.375 27 3 3 4 3 2 3 15
# 8 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
# 9 2 2 2 1 2 3 3 2 3.125 25 3 3 3 3 4 3.2 16
# 10 2 4 1 1 1 1 3 1 2.5 20 5 4 2 4 5 4 20
# # ... with 181 more rows
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
, Q4044rowMeans = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44)/5 # remove labels
, Q4044rowSums = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44) # remove labels
) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
summary
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
# + Q3138rowMeansReverseCoded = (Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8
# + , Q3138rowSumsReverseCoded = Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38
# + , Q4044rowMeans = (Q40 + Q41 + Q42 + Q43 + Q44)/5
# + , Q4044rowSums = Q40 + Q41 + Q42 + Q43 + Q44
# + ) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
# + summary
# Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q3138rowMeansReverseCoded Q3138rowSumsReverseCoded
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.875 Min. :15.00
# 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.00 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:3.000 1st Qu.:24.00
# Median :3.000 Median :3.000 Median :3.000 Median :1.000 Median :3.00 Median :4.000 Median :2.000 Median :2.000 Median :3.375 Median :27.00
# Mean :2.391 Mean :2.827 Mean :2.731 Mean :1.628 Mean :3.09 Mean :3.346 Mean :2.442 Mean :1.827 Mean :3.354 Mean :26.83
# 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:2.000 3rd Qu.:3.875 3rd Qu.:31.00
# Max. :4.000 Max. :5.000 Max. :5.000 Max. :4.000 Max. :5.00 Max. :5.000 Max. :5.000 Max. :5.000 Max. :4.500 Max. :36.00
# NA's :35 NA's :35 NA's :35 NA's :35 NA's :35 NA's :35 NA's :35 NA's :35 NA's :35 NA's :35
# Q40 Q41 Q42 Q43 Q44 Q4044rowMeans Q4044rowSums
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. : 5.00
# 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.800 1st Qu.:14.00
# Median :4.000 Median :4.000 Median :3.000 Median :4.000 Median :4.000 Median :3.600 Median :18.00
# Mean :3.438 Mean :3.556 Mean :3.026 Mean :3.516 Mean :3.673 Mean :3.442 Mean :17.21
# 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:20.00
# Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :25.00
# NA's :38 NA's :38 NA's :38 NA's :38 NA's :38 NA's :38 NA's :38
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
, Q4044rowMeans = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44)/5 # remove labels
, Q4044rowSums = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44) # remove labels
) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
na.omit %>% summary
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
# + Q3138rowMeansReverseCoded = (Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8
# + , Q3138rowSumsReverseCoded = Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38
# + , Q4044rowMeans = (Q40 + Q41 + Q42 + Q43 + Q44)/5
# + , Q4044rowSums = Q40 + Q41 + Q42 + Q43 + Q44
# + ) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
# + na.omit %>% summary
# Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q3138rowMeansReverseCoded Q3138rowSumsReverseCoded
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.875 Min. :15.00
# 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:3.000 1st Qu.:24.00
# Median :3.000 Median :3.000 Median :3.000 Median :1.000 Median :3.000 Median :4.000 Median :2.000 Median :2.00 Median :3.375 Median :27.00
# Mean :2.392 Mean :2.824 Mean :2.732 Mean :1.627 Mean :3.092 Mean :3.359 Mean :2.438 Mean :1.81 Mean :3.359 Mean :26.88
# 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:2.00 3rd Qu.:3.875 3rd Qu.:31.00
# Max. :4.000 Max. :5.000 Max. :5.000 Max. :4.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.00 Max. :4.500 Max. :36.00
# Q40 Q41 Q42 Q43 Q44 Q4044rowMeans Q4044rowSums
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. : 5.00
# 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.800 1st Qu.:14.00
# Median :4.000 Median :4.000 Median :3.000 Median :4.000 Median :4.000 Median :3.600 Median :18.00
# Mean :3.438 Mean :3.556 Mean :3.026 Mean :3.516 Mean :3.673 Mean :3.442 Mean :17.21
# 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:20.00
# Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :25.00
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowMeansReverseCoded_gt3 = Q3138rowMeansReverseCoded > 3
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
, Q3138rowSumsReverseCoded_gt27 = Q3138rowSumsReverseCoded > 27
, Q4044rowMeans = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44)/5 # remove labels
, Q4044rowMeans_gt3 = Q4044rowMeans > 3
, Q4044rowSums = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44) # remove labels
, Q4044rowSums_gt18 = Q4044rowSums > 18
) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
na.omit %>% summary
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
# + Q3138rowMeansReverseCoded = (Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8
# + , Q3138rowMeansReverseCoded_gt3 = Q3138rowMeansReverseCoded > 3
# + , Q3138rowSumsReverseCoded = Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38
# + , Q3138rowSumsReverseCoded_gt27 = Q3138rowSumsReverseCoded > 27
# + , Q4044rowMeans = (Q40 + Q41 + Q42 + Q43 + Q44)/5
# + , Q4044rowMeans_gt3 = Q4044rowMeans > 3
# + , Q4044rowSums = Q40 + Q41 + Q42 + Q43 + Q44
# + , Q4044rowSums_gt18 = Q40 + Q41 + Q42 + Q43 + Q44 > 18
# + ) %>% select(Q31, Q32, Q33, Q34, Q35, Q36, Q37, Q38, matches("Q3138"), Q40, Q41, Q42, Q43, Q44, matches("Q4044")) %>%
# + na.omit %>% summary
# Q31 Q32 Q33 Q34 Q35 Q36 Q37 Q38 Q3138rowMeansReverseCoded Q3138rowMeansReverseCoded_gt3 Q3138rowSumsReverseCoded Q3138rowSumsReverseCoded_gt27
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.875 Mode :logical Min. :15.00 Mode :logical
# 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:1.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:1.00 1st Qu.:3.000 FALSE:44 1st Qu.:24.00 FALSE:79
# Median :3.000 Median :3.000 Median :3.000 Median :1.000 Median :3.000 Median :4.000 Median :2.000 Median :2.00 Median :3.375 TRUE :109 Median :27.00 TRUE :74
# Mean :2.392 Mean :2.824 Mean :2.732 Mean :1.627 Mean :3.092 Mean :3.359 Mean :2.438 Mean :1.81 Mean :3.359 Mean :26.88
# 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:2.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:2.00 3rd Qu.:3.875 3rd Qu.:31.00
# Max. :4.000 Max. :5.000 Max. :5.000 Max. :4.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.00 Max. :4.500 Max. :36.00
# Q40 Q41 Q42 Q43 Q44 Q4044rowMeans Q4044rowMeans_gt3 Q4044rowSums Q4044rowSums_gt18
# Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Mode :logical Min. : 5.00 Mode :logical
# 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.800 FALSE:51 1st Qu.:14.00 FALSE:80
# Median :4.000 Median :4.000 Median :3.000 Median :4.000 Median :4.000 Median :3.600 TRUE :102 Median :18.00 TRUE :73
# Mean :3.438 Mean :3.556 Mean :3.026 Mean :3.516 Mean :3.673 Mean :3.442 Mean :17.21
# 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:20.00
# Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :5.000 Max. :25.00
#@ ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit =====
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit =
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34 %>% mutate(
Q3138rowMeansReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38)/8 # remove labels
, Q3138rowMeansReverseCoded_gt3 = Q3138rowMeansReverseCoded > 3
, Q3138rowSumsReverseCoded = as.numeric(Q31 + 6 - Q32 + Q33 + 6 - Q34 + Q35 + Q36 + 6 - Q37 + 6 - Q38) # remove labels
, Q3138rowSumsReverseCoded_gt27 = Q3138rowSumsReverseCoded > 27
, Q4044rowMeans = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44)/5 # remove labels
, Q4044rowMeans_gt3 = Q4044rowMeans > 3
, Q4044rowSums = as.numeric(Q40 + Q41 + Q42 + Q43 + Q44) # remove labels
, Q4044rowSums_gt18 = Q4044rowSums > 18
) %>% na.omit
#@ polynomial terms and dichotomization of age variable -----
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit =
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit %>% mutate(
Q1_squared = Q1 ^ 2
, Q1_cubic = Q1 ^ 3
, Q1_gt32 = Q1 > 32
, Q1_gt30 = Q1 > 30
)
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit %>%
select(matches("Q1")) %>% summary
# > ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit %>%
# + select(matches("Q1")) %>% summary
# Q1 Q10 Q11 Q13 Q1_squared Q1_cubic Q1_gt32 Q1_gt30
# Min. :21.00 Min. :1.000 Min. :1.000 Min. :1.000 Min. : 441 Min. : 9261 Mode :logical Mode :logical
# 1st Qu.:30.00 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:2.000 1st Qu.: 900 1st Qu.: 27000 FALSE:78 FALSE:47
# Median :32.00 Median :3.000 Median :4.000 Median :3.000 Median :1024 Median : 32768 TRUE :74 TRUE :105
# Mean :34.93 Mean :2.625 Mean :3.776 Mean :2.921 Mean :1312 Mean : 53528
# 3rd Qu.:37.00 3rd Qu.:3.000 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:1369 3rd Qu.: 50653
# Max. :66.00 Max. :5.000 Max. :5.000 Max. :5.000 Max. :4356 Max. :287496
#@ more dichotomous variables ======
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit =
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit %>% mutate(
Q2is1 = Q2 == 1
, Q2is2 = Q2 == 2
, Q2is1 = Q2 == 1
, Q2is2 = Q2 == 2
, Q3is1 = Q3 == 1
, Q3is2 = Q3 == 2
, Q3is3 = Q3 == 3
, Q3is4 = Q3 == 4
, Q3is5 = Q3 == 5
, Q3is6 = Q3 == 6
, Q3is7 = Q3 == 7
, Q4is1 = Q4 == 1
, Q4is2 = Q4 == 2
, Q4is3 = Q4 == 3
, Q4is4 = Q4 == 4
, Q4is5 = Q4 == 5
, Q4is6 = Q4 == 6
, Q4is7 = Q4 == 7
, Q5is1 = Q5 == 1
, Q5is2 = Q5 == 2
, Q7is1 = Q7 == 1
, Q7is2 = Q7 == 2
, Q7is3 = Q7 == 3
, Q7is4 = Q7 == 4
, Q7is5 = Q7 == 5
, Q7is6 = Q7 == 6
, Q7is7 = Q7 == 7
, Q8is1 = Q8 == 1
, Q8is2 = Q8 == 2
, Q6is1 = Q6 == 1
, Q6is2 = Q6 == 2
, Q6is3 = Q6 == 3
, Q6is4 = Q6 == 4
, Q6is5 = Q6 == 5
, Q6is6 = Q6 == 6
, Q6is7 = Q6 == 7
)
#@ more polynomial continous variables ======
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit =
ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit %>% mutate(
Q3138rowMeansReverseCoded_squared = Q3138rowMeansReverseCoded ^ 2
, Q3138rowMeansReverseCoded_cubic = Q3138rowMeansReverseCoded ^ 3
, Q3138rowMeansReverseCoded_sq = Q3138rowMeansReverseCoded ^ 2 # potential error in Stata due to too long variable name -_-
, Q3138rowMeansReverseCoded_cb = Q3138rowMeansReverseCoded ^ 3 # potential error in Stata due to too long variable name -_-
, Q4044rowMeans_squared = Q4044rowMeans ^ 2
, Q4044rowMeans_cubic = Q4044rowMeans ^ 3
)
#@ attributes(ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit[[i]]) = attributes(ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34[[i]]) =====
for (i in names(ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34)) {
attributes(ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34.rowMeansReverseCoded.na.omit[[i]]) = attributes(ID_207_Group_Project_Version_2_Vertical_July_24_2018_07_34[[i]])
}
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