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UWH.R
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UWH.R
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# INSTALL AND LOAD PACKAGES ################################
# Install pacman ("package manager") if needed
if (!require("pacman")) install.packages("pacman")
# Load contributed packages with pacman
pacman::p_load(pacman, party, rio, tidyverse)
# pacman: for loading/unloading packages
# party: for decision trees
# rio: for importing data
# tidyverse: for so many reasons
# Clear environment
rm(list = ls())
# Import other formats with rio::import() from rio
(df <- import("data/hervoiceuwh.xlsx") %>% as_tibble())
# Sets default value
#recode
df2 <- df %>%
mutate(b11 = recode(B1.1, "1"="10th std","2"="12th std", "3"="Graduation", "4"="Vocation degree", "5"="Post-graduation",
"6"="Above post-graduation","7"="Don't know",
.default = "0")) %>%
mutate(b21 = recode(B2.1, "1"="10th std","2"="12th std", "3"="Graduation", "4"="Vocation degree", "5"="Post-graduation",
"6"="Above post-graduation","7"="Don't know",
.default = "0")) %>%
mutate(b12 = recode(B1.2, "3"=0.5,"4"=0.5,"3,4"=1,"4,6"=0.5,"4,5"=0.5,"2,3"=0.5,"1,3"=0.5,
.default = 0)) %>%
mutate(b22 = recode(B2.2, "3"=0.5,"4"=0.5,"3,4"=1,"4,6"=0.5,"4,5"=0.5,"2,3"=0.5,"1,3"=0.5,"2,4"=0.5,
.default = 0)) %>%
mutate(b13 = recode(B1.3,"2"=1,
.default = 0)) %>%
mutate(b23 = recode(B2.3, "2"=1,
.default = 0)) %>%
mutate(b14 = recode(B1.4, "3"=1,"1"=1,"2"=1,"4"=1,"1,3"=1,"1,4"=1,
.default = 0)) %>%
mutate(b24 = recode(B2.4, "5"=0,
.default =1)) %>%
mutate(b15 = recode(B1.5, "1"="Yes, I have started planning and have a clear idea, what I am going to do after 12th class",
"2"="Yes, I am thinking about my future and have started planning, but don't have a clear idea",
"3"="No, I haven't started thinking about what I'm going to do after school",
"4"="4. Don't want to respond",
.default = "NA")) %>%
mutate(b25 = recode(B2.5, "1"="Yes, I have started planning and have a clear idea, what I am going to do after 12th class",
"2"="Yes, I am thinking about my future and have started planning, but don't have a clear idea",
"3"="No, I haven't started thinking about what I'm going to do after school",
"4"="4. Don't want to respond",
.default = "NA")) %>%
mutate(b16 = recode(B1.6, "1"="Yes","2"="No",
.default = "NA")) %>%
mutate(b26 = recode(B2.6, "1"="Yes","2"="No",
.default = "NA")) %>%
mutate(b17_plan = B1.7) %>%
mutate(b27_plan = B2.7) %>%
mutate(b18_challenges = B1.8) %>%
mutate(b28_challenges = B2.8) %>%
mutate(b19 = recode(B1.9, "4"=1,
.default = 0)) %>%
mutate(b29 = recode(B2.9, "4"=1,
.default = 0)) %>%
mutate(b110 = recode(B1.10, "1"=0.25,"2"=0.25,"3"=0,"4"=0.25,"5"=0.25,
"1.2.3.4"=0.75,"1.5"=0.5,"1.2.4.5"=1,"1.2.4.6"=0.75,
"1.2.5.6"=0.5,"1.2.4.5.6"=1,"1,2,3,4"=0.75,"1,2,4,6"=0.75,
"2,4,6,7"=0.5,"1,2,3,6"=0.5,"1,3,4,6"=0.5,"1246"=0.75,
"1,2,5,6"=0.75,"1,2,4,7"=0.75,"1,2,4,5,6"=1,"1,2,3,4,5,6"=0,
"2,6"=0.25,"1,7"=0.25,"1,2,6"=0.5,"1,2,4"=0.75,"1,2"=0.5,
"1,,5,6,4"=0.75,"2,4,5,6"=0.75,"3,5,6,7"=0.25,
"1,2,3,5"=0.5,"1,3,5,6"=0.5,"1,4,6"=0.5,"2,5,6,7"=0.5,
"2,3,4,6"=0.5,"1,4,5,6"=0.75,"1,2,7"=0.5,
"1,4,6,7"=0.5,"1,3,4,6,7"=0.5,"2,4,6"=0.5,
"1,2,4,6,"=0.75,"1,2,3"=0.5,
.default = 0)) %>%
mutate(b210 = recode(B2.10, "1"=0.25,"2"=0.25,"3"=0,"4"=0.25,"5"=0.25,
"1.2.3.4"=0.75,"1.5"=0.5,"1.2.4.5"=1,"1.2.4.6"=0.75,
"1.2.5.6"=0.5,"1.2.4.5.6"=1,"1,2,3,4"=0.75,"1,2,4,6"=0.75,
"2,4,6,7"=0.5,"1,2,3,6"=0.5,"1,3,4,6"=0.5,"1246"=0.75,
"1,2,5,6"=0.75,"1,2,4,7"=0.75,"1,2,4,5,6"=1,"1,2,3,4,5,6"=0,
"2,6"=0.25,"1,7"=0.25,"1,2,6"=0.5,"1,2,4"=0.75,"1,2"=0.5,
"1,,5,6,4"=0.75,"2,4,5,6"=0.75,"3,5,6,7"=0.25,
"1,2,3,5"=0.5,"1,3,5,6"=0.5,"1,4,6"=0.5,"2,5,6,7"=0.5,
"2,3,4,6"=0.5,"1,4,5,6"=0.75,"1,2,7"=0.5,
"1,4,6,7"=0.5,"1,3,4,6,7"=0.5,"2,4,6"=0.5,
"1,2,4,6,"=0.75,"1,2,3"=0.5,
.default = 0)) %>%
mutate(b111 = recode(B1.11, "3"=0.5,"4"=0.5,"3,4"=1,"3.4"=1,"3,5"=0.5,
"2,4"=0.5,"2,3"=0.5,"1,3"=0.5,
.default = 0)) %>%
mutate(b211 = recode(B2.11, "3"=0.5,"4"=0.5,"3,4"=1,"3,4,"=1,"3.4"=1,"3,5"=0.5,
"2,4"=0.5,"2,3"=0.5,"1,3"=0.5,
.default = 0)) %>%
mutate(b112 = recode(B1.12, "1"=1,
.default = 0)) %>%
mutate(b212 = recode(B2.12, "1"=1,
.default = 0)) %>%
mutate(b113 = recode(B1.13, "1"=1,
.default = 0)) %>%
mutate(b213 = recode(B2.13, "1"=1,
.default = 0)) %>%
mutate(b114 = recode(B1.14, "3"=1,
.default = 0)) %>%
mutate(b214 = recode(B2.14, "3"=1,
.default = 0)) %>%
mutate(b115 = recode(B1.15, "2"=1,
.default = 0)) %>%
mutate(b215 = recode(B2.15, "2"=1,
.default = 0)) %>%
mutate(b116 = recode(B1.16, "1"=1,
.default = 0)) %>%
mutate(b216 = recode(B2.16, "1"=1,
.default = 0)) %>%
mutate(b117 = recode(B1.17, "5"=1,
.default = 0)) %>%
mutate(b217 = recode(B2.17, "5"=1,
.default = 0)) %>%
mutate(b118 = recode(B1.18, "1"=0.5,"2"=0.5,"1,2"=1,"1.2"=1,
.default = 0)) %>%
mutate(b218 = recode(B2.18, "1"=0.5,"2"=0.5,"1,2"=1,"1,,2"=1,"1.2"=1,
.default = 0)) %>%
mutate(b119 = recode(B1.19, "2"=0.25,"4"=0.25,"5"= 0.25,"3"=0.25, "2,7,8"=0.25,
"2,3,4,5"=1,"2,9"=0.25,"2,3,5"=0.75,
"3,4"=0.5,"2,4,5"= 0.75,"2,4,5,7"= 0.75,
"2,3,4"=0.75,"2,8"=0.25,
.default = 0)) %>%
mutate(b219 = recode(B2.19, "2.4.7"=0.5,
"2,3,4,5,6,7,8"=1,
"2,3,4,5,6"=0,
"3,4,6"=0.5,
"2,7"=0.25,
"2,5"=0.5,
"4,5"=0.5,
"2,4,5"=0.75,
"7,8"=0,
"2,6"=0.25,
"3,4"=0.5,
"3,5"=0.5,
"2,3,4,6"=0.75,
"2,4"=0.5,
"2,3,4"=0.75,
"2,3,4,5"=1,
"2,3"=0.5,
"2,4,5,6"=0.75,
"2,6,8"=0.25,
"2,3,4,5,8"=0,
"2,5,8"=0.5,
"2,8"=0.25,
"2,4,5,8"=0.75,
"3,4,5"=0.75,
"2,3,5"=0.75,
"1,2"=0,
"2,4,6"=0.5,
"2,3,6"=0.5,
"2,3,5,7"=0.75,
"1,4"=0.25,
"2,3,4,7"=0.75,
"1,3"=0.25,
"2,3,4,7,8"=0,
"2,3,45,5"=1,
"7"=0,
"2,6,7,9"=0,
"2,7,8"=0,
.default = 0)) %>%
mutate(b120 = recode(B1.20, "4"=1,
.default = 0)) %>%
mutate(b220 = recode(B2.20, "4"=1,
.default = 0)) %>%
mutate(b121 = recode(B1.21, "2"=1,
.default = 0)) %>%
mutate(b221 = recode(B2.21, "2"=1,
.default = 0)) %>%
mutate(b122 = recode(B1.22, "2"=1,
.default = 0)) %>%
mutate(b222 = recode(B2.22, "2"=1,
.default = 0)) %>%
mutate(b123 = recode(B1.23, "4"=1,
.default = 0)) %>%
mutate(b223 = recode(B2.23, "4"=1,
.default = 0)) %>%
mutate(b124 = recode(B1.24, "2"=1,
.default = 0)) %>%
mutate(b224 = recode(B2.24, "2"=1,
.default = 0)) %>%
mutate(b125 = recode(B1.25, "1"=0.5,"3"=0.5,"1,3"=0.5,"1.3"=0.5,
.default = 0)) %>%
mutate(b225 = recode(B2.25, "1"=0.5,"3"=0.5,"1,3"=0.5,"1.3"=0.5,
.default = 0)) %>%
mutate(b126 = recode(B1.26, "1"=1,
.default = 0)) %>%
mutate(b226 = recode(B2.26, "1"=1,
.default = 0)) %>%
mutate(b127 = recode(B1.27, "1"=1,
.default = 0)) %>%
mutate(b227 = recode(B2.27, "1"=1,
.default = 0)) %>%
mutate(b128 = recode(B1.28, "1"=1,
.default = 0)) %>%
mutate(b228 = recode(B2.28, "1"=1,
.default = 0)) %>%
mutate(b129 = recode(B1.29, "4"=1,
.default = 0)) %>%
mutate(b229 = recode(B2.29, "4"=1,
.default = 0)) %>%
mutate(b130 = recode(B1.30, "1"=1,
.default = 0)) %>%
mutate(b230 = recode(B2.30, "1"=1,
.default = 0)) %>%
mutate(b131 = recode(B1.31, "2"=1,
.default = 0)) %>%
mutate(b231 = recode(B2.31, "2"=1,
.default = 0)) %>%
mutate(b132 = recode(B1.32, "1"=1,
.default = 0)) %>%
mutate(b232 = recode(B2.32, "1"=1,
.default = 0)) %>%
mutate(b133 = recode(B1.33, "3"=1,
.default = 0)) %>%
mutate(b233 = recode(B2.33, "3"=1,
.default = 0)) %>%
mutate(b134 = recode(B1.34, "1"=0.33,
"2"=0.33,
"5"=0,
"6"=0,
"4"=0.33,
"2.5"=0.33,
"3"=0,
"-"=0,
"1.2.4"=1,
"1,2"=0.66,
"1,2,3,4,5"=0,
"1,2,4"=1,
"3,5"=0,
"2,4"=0.66,
"1,4"=0.66,
"1,2,3,4"=0.66,
"1,2,5"=0.66,
"7"=0,
"3,4"=0.33,
"1,3,5"=0.33,
"1,3"=0.33,
"1,3,6"=0.33,
.default = 0)) %>%
mutate(b234 = recode(B2.34, "6"=0,
"-"=0,
"4"=0.33,
"5"=0,
"2"=0.33,
"1"=0.33,
"1.4"=0.6,
"3"=0,
"1.2"=0.66,
"1.2.5"=0.66,
"1.2.4"=1,
"1,2"=0.66,
"1,2,3,4,5"=0,
"1,2,4"=1,
"2,4"=0.66,
"1,4"=0.66,
"1,2,3,4"=0.66,
"1,2,5"=0.66,
"5,6"=0,
"1,5"=0.33,
"4,6"=0.33,
"3,4"=0.33,
"2,5"=0.33,
"1,3,4"=0.66,
"1,3"=0.33,
"1,2,4,"=1,
"1,6"=0.33,
.default = 0)) %>%
mutate(b135 = recode(B1.35, "2"=0,
"7"=0,
"5"=0.33,
"3"=0,
"6"=0.33,
"4"=0.33,
"5.6"=0.66,
"2,6"=0.33,
"5,6"=0.66,
"4,6"=0.66,
"2,3,5"=0.33,
"1"=0,
"2,3,6"=0.33,
"3,6"=0.33,
"2,5,6"=0.66,
"2,3,4,5"=0.66,
"9"=0,
"2,4"=0.33,
"4,5"=0.66,
.default = 0)) %>%
mutate(b235 = recode(B2.35, "7"=0,
"1"=0,
"6"=0.33,
"5"=0.33,
"3"=0,
"2"=0,
"4.5.6"=1,
"4"=0.33,
"3.5"=0.33,
"4.6"=0.66,
"2,3"=0,
"4,6"=0.66,
"3,4"=0.33,
"5,6"=0.66,
"4,5"=0.66,
"4,5,6"=1,
"2,3,4,5,6"=0,
"2,3,4"=0.33,
"2,5"=0.33,
"2,3,5"=0.33,
"2,4,5"=0.66,
"2,6"=0.33,
"1,2,4"=0.33,
"3,4,5,6"=0.66,
"3,6"=0.33,
"3,5"=0.33,
"3,5,6"=0.66,
"2,4"=0.33,
.default = 0)) %>%
mutate(b136 = recode(B1.36, "2"=1,
.default = 0)) %>%
mutate(b236 = recode(B2.36, "2"=1,
.default = 0)) %>%
mutate(b137 = recode(B1.37, "2"=1,
.default = 0)) %>%
mutate(b237 = recode(B2.37, "2"=1,
.default = 0)) %>%
mutate(b138 = recode(B1.38, "3"=1,
.default = 0)) %>%
mutate(b238 = recode(B2.38, "3"=1,
.default = 0)) %>%
mutate(b139 = recode(B1.39, "7"=0,
"1"=0.25,
"1.2"=0.5,
"6"=0,
"2.3"=0.5,
"1.2.3"=0.75,
"2"=0.25,
"3"=0.25,
"5"=1,
"2.3.4"=0.75,
"1.2.3.7"=0.75,
"1.6"=0.25,
"2.6"=0.25,
"1.2.3.4"=1,
"1.4"=0.5,
"4"=0.25,
"2,3"=0.5,
"1,2"=0.5,
"1,4"=0.5,
"1,2,3"=0.75,
"1,2,3,4"=1,
"1,2,3,4,5,6"=0,
"1,2,3,4,5"=1,
"1,5"=1,
"1,2,6"=0.5,
"1,2,4"=0.75,
"2,4"=0.5,
"5,6"=0,
"2,3,6"=0.5,
"DON'T UNDERSTAND"=0,
"4,6"=0.25,
"3,7"=0.25,
"3,4"=0.5,
"2,5"=0.5,
.default = 0)) %>%
mutate(b239 = recode(B2.39, "7"=0,
"2"=0.25,
"1"=0.25,
"5"=1,
"1.2.3"=0.75,
"3"=0.25,
"1.2.3.4"=1,
"4"=0.25,
"2.3"=0.5,
"1.2"=0.5,
"1.2.3."=0.75,
"1.2.4.7"=0.75,
"1.3"=0.5,
"2.3.4"=0.75,
"1.5"=0.5,
"1,2,3,4,5"=1,
"1,2,3,4"=1,
"1,2"=0.5,
"1,2,3"=0.75,
"2,3"=0.5,
"1,2,4"=0.75,
"2,4"=0.5,
"1,2,3,4,5,6"=0,
"1,2,3,6"=0.75,
"5,7"=0,
"1,2,3,5"=1,
"6"=0,
"1,3"=0.5,
"1,2,5"=0.5,
"1,2,5,6"=0.5,
"1,2,32,4"=1,
"3,5,6"=0.25,
"1,4,5"=0.5,
"1,2,4,5"=0.75,
"3,5"=0.25,
.default = 0)) %>%
mutate(b140 = recode(B1.40, "3"=1,
.default = 0)) %>%
mutate(b240 = recode(B2.40, "3"=1,
.default = 0)) %>%
mutate(b141 = recode(B1.41, "5"=0,
"2.3"=1,
"3.4"=0.5,
"2"=0.5,
"1"=0,
"3"=0.5,
"1.2.3"=1,
"2,3"=1,
"4"=0,
"1,2,3"=1,
"3,4"=0.5,
"1,2"=0.5,
"2,5"=0.5,
"2,3,4"=1,
"2,4"=0.5,
"3,5"=0.5,
.default = 0)) %>%
mutate(b241 = recode(B2.41, "5"=0,
"2"=0.5,
"3"=0.5,
"3.4"=0.5,
"4"=0,
"2.3"=1,
"1.3"=0.5,
"1"=0,
"1.2.3"=1,
"2,3"=1,
"1,2"=0.5,
"1,3"=0.5,
"2,4"=0.5,
"3,4"=0.5,
"1,2,4"=0.5,
"1,2,3"=1,
"2,3,4"=1,
"3,5"=0.5,
"2,5"=0.5,
.default = 0)) %>%
mutate(c11 = recode(C1.1, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c21 = recode(C2.1, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c12 = recode(C1.2, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c22 = recode(C2.2, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c13 = recode(C1.3, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c23 = recode(C2.3, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c14 = recode(C1.4, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c24 = recode(C2.4, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c15 = recode(C1.5, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c25 = recode(C2.5, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c16 = recode(C1.6, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c26 = recode(C2.6, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c17 = recode(C1.7, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c27 = recode(C2.7, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c18 = recode(C1.8, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c28 = recode(C2.8, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c19 = recode(C1.9, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c29 = recode(C2.9, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c110 = recode(C1.10, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c210 = recode(C2.10, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c111 = recode(C1.11, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c211 = recode(C2.11, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c112 = recode(C1.12, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c212 = recode(C2.12, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c113 = recode(C1.13, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c213 = recode(C2.13, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c114 = recode(C1.14, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c214 = recode(C2.14, "1"=1,"2"=0,
.default = 0)) %>%
mutate(c115 = recode(C1.15, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c215 = recode(C2.15, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c116 = recode(C1.16, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c216 = recode(C2.16, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c117 = recode(C1.17, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c217 = recode(C2.17, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c118 = recode(C1.18, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c218 = recode(C2.18, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c119 = recode(C1.19, "1"=0,"2"=1,
.default = 0)) %>%
mutate(c219 = recode(C2.19, "1"=0,"2"=1,
.default = 0)) %>%
mutate(d11 = recode(D1.1,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d21 = recode(D2.1,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d12 = recode(D1.2,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d22 = recode(D2.2,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d13 = recode(D1.3,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d23 = recode(D2.3,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d14 = recode(D1.4,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d24 = recode(D2.4,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d15 = recode(D1.5,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d25 = recode(D2.5,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d16 = recode(D1.6,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d26 = recode(D2.6,
"1"=1,
"2"=2,
"3"=3,
"4"=4,
.default = 0)) %>%
mutate(d17 = recode(D1.7,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d27 = recode(D2.7,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d18 = recode(D1.8,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d28 = recode(D2.8,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d19 = recode(D1.9,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d29 = recode(D2.9,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d110 = recode(D1.10,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0)) %>%
mutate(d210 = recode(D2.10,
"1"=4,
"2"=3,
"3"=2,
"4"=1,
.default = 0))
#export re-coded data frame
#install.packages("writexl")
library("writexl")
write_xlsx(df2,"C:/Users/harik/Documents/Desktop-Samsung/VOICE/UWH/IA/HV_UWH_recoded.xlsx")
#categorization + addition
df3 <- df2 %>%
mutate(
b_ed_1 = rowSums(select(.,b13,b14),na.rm = TRUE),
b_pln_1 = b16,
b_crf_1 = rowSums(select(.,b19,b110,b111,b136), na.rm = TRUE),
b_srh_1 = rowSums(select(.,b112,b119), na.rm = TRUE),
b_msh_1 = rowSums(select(.,b113,b114,b115,b116,b117,b118), na.rm = TRUE),
b_mh_1 = rowSums(select(.,b120,b121,b122,b123), na.rm = TRUE),
b_v_1 = rowSums(select(.,b124,b125,b126,b127,b128), na.rm = TRUE),
b_lr_1 = rowSums(select(.,b129,b130,b131,b132), na.rm = TRUE),
b_hr_1 = rowSums(select(.,b133,b134), na.rm = TRUE),
b_mr_1= rowSums(select(.,b135), na.rm = TRUE),
b_ng_1 = rowSums(select(.,b137,b140,b141), na.rm = TRUE),
b_cm_1 = rowSums(select(.,b138,b139), na.rm = TRUE),
b_ed_2 = rowSums(select(.,b23,b24), na.rm = TRUE),
b_pln_2 = b26,
b_crf_2 = rowSums(select(.,b29,b210,b211,b236), na.rm = TRUE),
b_srh_2 = rowSums(select(.,b212,b219), na.rm = TRUE),
b_msh_2 = rowSums(select(.,b213,b214,b215,b216,b217,b218), na.rm = TRUE),
b_mh_2 = rowSums(select(.,b220,b221,b222,b223), na.rm = TRUE),
b_v_2 = rowSums(select(.,b224,b225,b226,b227,b228), na.rm = TRUE),
b_lr_2 = rowSums(select(.,b229,b230,b231,b232), na.rm = TRUE),
b_hr_2 = rowSums(select(.,b233,b234), na.rm = TRUE),
b_mr_2= rowSums(select(.,b235), na.rm = TRUE),
b_ng_2 = rowSums(select(.,b237,b240,b241), na.rm = TRUE),
b_cm_2 = rowSums(select(.,b238,b239), na.rm = TRUE),
c_ed_1 = rowSums(select(.,c11,c12,c13,b12), na.rm = TRUE),
c_gd_1 = rowSums(select(.,c14,c15,c16), na.rm = TRUE),
c_mh_1 = rowSums(select(.,c17,c18), na.rm = TRUE),
c_v_1 = rowSums(select(.,c19,c110,c117,c118,c119), na.rm = TRUE),
c_cmr_1 = rowSums(select(.,c111,c112,c113), na.rm = TRUE),
c_pl_1 = rowSums(select(.,c114), na.rm = TRUE),
c_ms_1 = rowSums(select(.,c115,c116), na.rm = TRUE),
c_ed_2 = rowSums(select(.,c21,c22,c23,b22), na.rm = TRUE),
c_gd_2 = rowSums(select(.,c24,c25,c26), na.rm = TRUE),
c_mh_2 = rowSums(select(.,c27,c28), na.rm = TRUE),
c_v_2 = rowSums(select(.,c29,c210,c217,c218,c219), na.rm = TRUE),
c_cmr_2 = rowSums(select(.,c211,c212,c213), na.rm = TRUE),
c_pl_2 = rowSums(select(.,c214), na.rm = TRUE),
c_ms_2 = rowSums(select(.,c215,c216), na.rm = TRUE),
selfesteempre = rowSums(select(.,d11,d12,d13,d14,d15,d16,d17,d18,d19,d110), na.rm = TRUE),
selfesteempost = rowSums(select(.,d21,d22,d23,d24,d25,d26,d27,d28,d29,d210), na.rm = TRUE),
) %>%
mutate (
knowledgepre = (b_ed_1 + b_crf_1 + b_srh_1 + b_msh_1 + b_mh_1 + b_v_1 + b_lr_1 + b_hr_1 + b_mr_1 + b_ng_1 + b_cm_1),
knowledgepost = (b_ed_2 + b_crf_2 + b_srh_2 + b_msh_2 + b_mh_2 + b_v_2 + b_lr_2 + b_hr_2 + b_mr_2 + b_ng_2 + b_cm_2),
attpre = (c_ed_1 + c_mh_1 +c_gd_1 + c_v_1 + c_pl_1 + c_cmr_1 + c_ms_1),
attpost = (c_ed_2 + c_mh_2 + c_gd_2 + c_v_2 + c_pl_2 + c_cmr_2 + c_ms_2),
) %>%
select(DATE...2,UID...3,A1.1,A1.2,A1.3,A1.4,A1.5,A1.6,A1.7,A1.8,A1.9,A1.10,A1.11,A1.12,
b11, b21, b12, b22, b13, b23, b14, b24, b15, b25,
b16, b26, b17_plan, b27_plan, b18_challenges, b28_challenges, b19, b29,
b110, b210, b111, b211, b112, b212, b113, b213, b114, b214, b115, b215,
b116, b216, b117, b217, b118, b218, b119, b219, b120, b220, b121, b221, b222,
b123, b223, b124, b224, b125, b225, b126, b226, b127, b227, b128, b228, b129,
b229, b130, b230, b131, b231, b132, b232, b133, b233, b134, b234, b135, b235,
b136, b236, b137, b237, b138, b238, b139, b239, b140, b240, b141, b241, c11,
c21, c12, c22, c13, c23, c14, c24, c15, c25, c16, c26, c17, c27, c18,
c28, c19, c29, c110, c210, c111, c211, c112, c212, c113, c213, c114, c214, c115,
c215, c116, c216, c117, c217, c118, c218, c119, c219, d11, d21, d12, d22, d13, d23, d14, d24, d15,
d25, d16, d26, d17, d27, d18, d28, d19, d29, d110, d210,
b_ed_1, b_pln_1, b_crf_1, b_srh_1, b_msh_1, b_mh_1, b_v_1, b_lr_1, b_hr_1, b_mr_1,b_ng_1, b_cm_1,
b_ed_2, b_pln_2, b_crf_2, b_srh_2, b_msh_2, b_mh_2, b_v_2, b_lr_2, b_hr_2, b_mr_2,b_ng_2, b_cm_2,
c_ed_1, c_mh_1, c_gd_1, c_v_1, c_pl_1, c_cmr_1, c_ms_1,
c_ed_2, c_mh_2, c_gd_2, c_v_2, c_pl_2, c_cmr_2, c_ms_2,
selfesteempre,selfesteempost,knowledgepre,knowledgepost, attpre, attpost) %>%
rename(education_b1 = b_ed_1,
planning_b1 = b_pln_1,
career_fin_b1 = b_crf_1,
srh_b1 = b_srh_1,
menstrual_health_b1 = b_msh_1,
mental_health_b1 = b_mh_1,
violence_b1 = b_v_1,
laws_rights_b1 = b_lr_1,
healthy_relations_b1 = b_hr_1,
marriage_b1 = b_mr_1,
negotiation_b1 = b_ng_1,
conflict_b1 = b_cm_1,
education_b2 = b_ed_2,
planning_b2 = b_pln_2,
career_fin_b2 = b_crf_2,
srh_b2 = b_srh_2,
menstrual_health_b2 = b_msh_2,
mental_health_b2 = b_mh_2,
violence_b2 = b_v_2,
laws_rights_b2 = b_lr_2,
healthy_relations_b2 = b_hr_2,
marriage_b2 = b_mr_2,
negotiation_b2 = b_ng_2,
conflict_b2 = b_cm_2,
education_c1 = c_ed_1,
mental_health_c1 = c_mh_1,
gender_disc_c1 = c_gd_1,
violence_c1 = c_v_1,
planning_c1 = c_pl_1,
child_marriage_c1 = c_cmr_1,
menstruation_c1 = c_ms_1,
education_c2 = c_ed_2,
mental_health_c2 = c_mh_2,
gender_disc_c2 = c_gd_2,
violence_c2 = c_v_2,
planning_c2 = c_pl_2,
child_marriage_c2 = c_cmr_2,
menstruation_c2 = c_ms_2
) %>%
print()
write_xlsx(df3,"C:/Users/harik/Documents/Desktop-Samsung/VOICE/UWH/IA/HV_UWH_recoded+scored2.xlsx")