## [1] 372
## [1] 511
## [1] "StartDate" "EndDate" "IPAddress"
## [4] "RecordedDate" "ResponseId" "DistributionChannel"
## [7] "UserLanguage" "Q2.3" "Q6.9"
## [10] "Q6.10.4_1_1" "Q6.10.4_2_1" "Q6.10.4_3_1"
## [13] "Q6.10.4_4_1" "Q6.10.4_5_1" "Q6.10.4_7_1"
## [16] "Q8.2" "Q9.7" "Q9.8"
## [19] "Q9.8_6_TEXT" "Q9.15" "Q9.15_4_TEXT"
## [22] "opp" "Q_URL" "Q_CHL"
## [25] "ResponseID" "psid" "med"
## [28] "ppsid" "cintid" "isNew"
## [31] "cmpid" "ProjectToken" "LS"
## [34] "Set.a.Value.Now"
Make (QOLIE10)
# Patients with lowest scores have the least problems (QOLIE10)
#make Q2.9_2
table(LEEP_num$Q2.9_2)
##
## 1 2 3 4 5
## 100 164 152 68 27
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2==1] <- "none"
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2==2] <- "lit"
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2==3] <- "some"
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2==4] <- "most"
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2==5] <- "all"
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2=="none"] <- 5
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2=="lit"] <- 4
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2=="some"] <-3
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2=="most"] <- 2
LEEP_num$Q2.9_2[LEEP_num$Q2.9_2=="all"] <- 1
table(LEEP_num$Q2.9_2)
##
## 1 2 3 4 5
## 27 68 152 164 100
#make Q5.7
table(LEEP_num$Q5.7)
##
## 0 1 2 3 4 5 6
## 250 27 20 42 34 94 44
LEEP_num$Q5.7[LEEP_num$Q5.7==1] <- "great"
LEEP_num$Q5.7[LEEP_num$Q5.7==2] <- "lot"
LEEP_num$Q5.7[LEEP_num$Q5.7==3] <- "some"
LEEP_num$Q5.7[LEEP_num$Q5.7==4] <- "lit"
LEEP_num$Q5.7[LEEP_num$Q5.7==5] <- "not"
LEEP_num$Q5.7[LEEP_num$Q5.7==6] <- "app"
LEEP_num$Q5.7[LEEP_num$Q5.7=="great"] <- 5
LEEP_num$Q5.7[LEEP_num$Q5.7=="lot"] <- 4
LEEP_num$Q5.7[LEEP_num$Q5.7=="some"] <-3
LEEP_num$Q5.7[LEEP_num$Q5.7=="lit"] <- 2
LEEP_num$Q5.7[LEEP_num$Q5.7=="not"] <- 1
LEEP_num$Q5.7[LEEP_num$Q5.7=="app"] <- 0
table(LEEP_num$Q5.7)
##
## 0 1 2 3 4 5
## 294 94 34 42 20 27
# Make Q5.8 series
LEEP_num$Q5.8_1[LEEP_num$Q5.8_1==6] <- 1
LEEP_num$Q5.8_2[LEEP_num$Q5.8_2==6] <- 1
LEEP_num$Q5.8_3[LEEP_num$Q5.8_3==6] <-1
LEEP_num$Q5.8_4[LEEP_num$Q5.8_4==6] <- 1
LEEP_num$Q5.8_5[LEEP_num$Q5.8_5==6] <- 1
Make (VR-12)
#Lower PA and MH, lower Score (VR-12)
# Make Q2.4
table(LEEP_num$Q2.4)
##
## 1 2 3 4 5
## 26 115 212 139 19
LEEP_num$Q2.4[LEEP_num$Q2.4==1] <- "great"
LEEP_num$Q2.4[LEEP_num$Q2.4==2] <- "lot"
LEEP_num$Q2.4[LEEP_num$Q2.4==3] <- "some"
LEEP_num$Q2.4[LEEP_num$Q2.4==4] <- "lit"
LEEP_num$Q2.4[LEEP_num$Q2.4==5] <- "not"
LEEP_num$Q2.4[LEEP_num$Q2.4=="great"] <- 5
LEEP_num$Q2.4[LEEP_num$Q2.4=="lot"] <- 4
LEEP_num$Q2.4[LEEP_num$Q2.4=="some"] <-3
LEEP_num$Q2.4[LEEP_num$Q2.4=="lit"] <- 2
LEEP_num$Q2.4[LEEP_num$Q2.4=="not"] <- 1
table(LEEP_num$Q2.4)
##
## 1 2 3 4 5
## 19 139 212 115 26
# Make Q2.6 Series
table(LEEP_num$Q2.6_1)
##
## 1 2 3 4 5
## 105 156 139 78 33
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1==1] <- "great"
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1==2] <- "lot"
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1==3] <- "some"
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1==4] <- "lit"
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1==5] <- "not"
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1=="great"] <- 5
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1=="lot"] <- 4
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1=="some"] <-3
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1=="lit"] <- 2
LEEP_num$Q2.6_1[LEEP_num$Q2.6_1=="not"] <- 1
table(LEEP_num$Q2.6_1)
##
## 1 2 3 4 5
## 33 78 139 156 105
table(LEEP_num$Q2.6_2)
##
## 1 2 3 4 5
## 136 152 124 62 37
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2==1] <- "great"
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2==2] <- "lot"
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2==3] <- "some"
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2==4] <- "lit"
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2==5] <- "not"
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2=="great"] <- 5
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2=="lot"] <- 4
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2=="some"] <-3
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2=="lit"] <- 2
LEEP_num$Q2.6_2[LEEP_num$Q2.6_2=="not"] <- 1
table(LEEP_num$Q2.6_2)
##
## 1 2 3 4 5
## 37 62 124 152 136
# Make Q2.7 series
table(LEEP_num$Q2.7_1)
##
## 1 2 3 4 5
## 103 132 141 86 49
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1==1] <- "great"
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1==2] <- "lot"
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1==3] <- "some"
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1==4] <- "lit"
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1==5] <- "not"
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1=="great"] <- 5
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1=="lot"] <- 4
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1=="some"] <-3
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1=="lit"] <- 2
LEEP_num$Q2.7_1[LEEP_num$Q2.7_1=="not"] <- 1
table(LEEP_num$Q2.7_1)
##
## 1 2 3 4 5
## 49 86 141 132 103
table(LEEP_num$Q2.7_2)
##
## 1 2 3 4 5
## 130 123 140 80 38
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2==1] <- "great"
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2==2] <- "lot"
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2==3] <- "some"
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2==4] <- "lit"
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2==5] <- "not"
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2=="great"] <- 5
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2=="lot"] <- 4
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2=="some"] <-3
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2=="lit"] <- 2
LEEP_num$Q2.7_2[LEEP_num$Q2.7_2=="not"] <- 1
table(LEEP_num$Q2.7_2)
##
## 1 2 3 4 5
## 38 80 140 123 130
# Make Q 2.8
table(LEEP_num$Q2.8)
##
## 1 2 3 4 5
## 80 159 147 88 37
LEEP_num$Q2.8[LEEP_num$Q2.8==1] <- "great"
LEEP_num$Q2.8[LEEP_num$Q2.8==2] <- "lot"
LEEP_num$Q2.8[LEEP_num$Q2.8==3] <- "some"
LEEP_num$Q2.8[LEEP_num$Q2.8==4] <- "lit"
LEEP_num$Q2.8[LEEP_num$Q2.8==5] <- "not"
LEEP_num$Q2.8[LEEP_num$Q2.8=="great"] <- 5
LEEP_num$Q2.8[LEEP_num$Q2.8=="lot"] <- 4
LEEP_num$Q2.8[LEEP_num$Q2.8=="some"] <-3
LEEP_num$Q2.8[LEEP_num$Q2.8=="lit"] <- 2
LEEP_num$Q2.8[LEEP_num$Q2.8=="not"] <- 1
table(LEEP_num$Q2.8)
##
## 1 2 3 4 5
## 37 88 147 159 80
# Make Q2.11
table(LEEP_num$Q2.11)
##
## 1 2 3 4 5
## 35 121 175 146 34
LEEP_num$Q2.11[LEEP_num$Q2.11==1] <- "great"
LEEP_num$Q2.11[LEEP_num$Q2.11==2] <- "lot"
LEEP_num$Q2.11[LEEP_num$Q2.11==3] <- "some"
LEEP_num$Q2.11[LEEP_num$Q2.11==4] <- "lit"
LEEP_num$Q2.11[LEEP_num$Q2.11==5] <- "not"
LEEP_num$Q2.11[LEEP_num$Q2.11=="great"] <- 5
LEEP_num$Q2.11[LEEP_num$Q2.11=="lot"] <- 4
LEEP_num$Q2.11[LEEP_num$Q2.11=="some"] <-3
LEEP_num$Q2.11[LEEP_num$Q2.11=="lit"] <- 2
LEEP_num$Q2.11[LEEP_num$Q2.11=="not"] <- 1
table(LEEP_num$Q2.11)
##
## 1 2 3 4 5
## 34 146 175 121 35
# Make q2.12
table(LEEP_num$Q2.12)
##
## 1 2 3 4 5
## 49 101 145 152 64
LEEP_num$Q2.12[LEEP_num$Q2.12==1] <- "great"
LEEP_num$Q2.12[LEEP_num$Q2.12==2] <- "lot"
LEEP_num$Q2.12[LEEP_num$Q2.12==3] <- "some"
LEEP_num$Q2.12[LEEP_num$Q2.12==4] <- "lit"
LEEP_num$Q2.12[LEEP_num$Q2.12==5] <- "not"
LEEP_num$Q2.12[LEEP_num$Q2.12=="great"] <- 5
LEEP_num$Q2.12[LEEP_num$Q2.12=="lot"] <- 4
LEEP_num$Q2.12[LEEP_num$Q2.12=="some"] <-3
LEEP_num$Q2.12[LEEP_num$Q2.12=="lit"] <- 2
LEEP_num$Q2.12[LEEP_num$Q2.12=="not"] <- 1
table(LEEP_num$Q2.12)
##
## 1 2 3 4 5
## 64 152 145 101 49
#Coding Q8.6 (Higher score means higher financial problems )
table(LEEP_num$Q8.6)
##
## 1 2 3 4 5 6
## 94 183 107 115 5 7
LEEP_num$Q8.6[LEEP_num$Q8.6==5] <- 0
LEEP_num$Q8.6[LEEP_num$Q8.6==6] <- 0
table(LEEP_num$Q8.6)
##
## 0 1 2 3 4
## 12 94 183 107 115
LEEP_num<-LEEP_num %>% mutate(across(starts_with("Q8.5"), ~replace(., . == 4 , 0)))
Making scales
LEEP_num[] <- lapply(LEEP_num, function(x) as.numeric(as.character(x)))
# Making Scales
LEEP_num$SUM_QOLIE10 = rowSums(LEEP_num[ , c("Q5.7", "Q5.4" ,"Q2.9_2","Q2.9_3","Q5.8_1","Q5.8_2","Q5.8_3","Q5.8_4","Q5.8_5","Q5.5","Q5.6")], na.rm = T)
LEEP_num$sum_q_7 = rowSums(LEEP_num[ , c("Q7.4_1", "Q7.4_2", "Q7.4_3", "Q7.4_4", "Q7.4_5", "Q7.4_6")], na.rm = T)
LEEP_num$sum_VR12 = rowSums(LEEP_num[ , c("Q2.4", "Q2.5_1", "Q2.5_2", "Q2.6_1", "Q2.6_2", "Q2.7_1", "Q2.7_2", "Q2.8", "Q2.9_1","Q2.9_2", "Q2.9_3", "Q2.10", "Q2.11", "Q2.12")], na.rm = T)
LEEP_num$sum_Suicidality = rowSums(LEEP_num[ , c("Q3.3", "Q3.4", "Q3.5", "Q3.6")], na.rm = T)
LEEP_num$GAD2 = rowSums(LEEP_num[ , c("Q3.2_3","Q3.2_4")], na.rm = T)
LEEP_num$PHQ = rowSums(LEEP_num[ , c("Q3.2_1","Q3.2_2")], na.rm = T)
QOLIE-10-P
LEEP_num_MJ<-LEEP_num %>%
filter(Q1.2==1)
LEEP_num_MJ<-LEEP_num_MJ %>%
select( SUM_QOLIE10,Q3.7_1, Q3.7_2, Q3.7_3, Q3.7_4, Anxiety, GAD2, PHQ, Q8.5.1_13, Q8.5.1_3, Q8.5.1_5)
mtcars_new <- LEEP_num_MJ
corrmat_pearson <- cor(mtcars_new)
corrmat_pearson
## SUM_QOLIE10 Q3.7_1 Q3.7_2 Q3.7_3 Q3.7_4
## SUM_QOLIE10 1.000000000 -0.03777036 -0.24801887 -0.17435525 -0.09137688
## Q3.7_1 -0.037770357 1.00000000 0.45624045 0.34948447 0.29847238
## Q3.7_2 -0.248018870 0.45624045 1.00000000 0.54699849 0.48858801
## Q3.7_3 -0.174355246 0.34948447 0.54699849 1.00000000 0.59025983
## Q3.7_4 -0.091376877 0.29847238 0.48858801 0.59025983 1.00000000
## Anxiety 0.239739176 -0.02576314 -0.09185685 -0.07040723 -0.06363018
## GAD2 0.499308936 -0.07588104 -0.24727450 -0.19560046 -0.18007422
## PHQ 0.565763174 -0.09310166 -0.31411562 -0.22623916 -0.21387677
## Q8.5.1_13 -0.009808814 0.08798042 0.07380498 0.05745986 -0.03699700
## Q8.5.1_3 0.108060286 -0.07641695 -0.19390819 -0.10880885 -0.11977481
## Q8.5.1_5 0.125836203 0.03962111 -0.20046125 -0.20944079 -0.26014210
## Anxiety GAD2 PHQ Q8.5.1_13 Q8.5.1_3
## SUM_QOLIE10 0.23973918 0.49930894 0.56576317 -0.009808814 0.10806029
## Q3.7_1 -0.02576314 -0.07588104 -0.09310166 0.087980416 -0.07641695
## Q3.7_2 -0.09185685 -0.24727450 -0.31411562 0.073804977 -0.19390819
## Q3.7_3 -0.07040723 -0.19560046 -0.22623916 0.057459862 -0.10880885
## Q3.7_4 -0.06363018 -0.18007422 -0.21387677 -0.036997004 -0.11977481
## Anxiety 1.00000000 0.36239870 0.25536474 -0.002107290 0.20026516
## GAD2 0.36239870 1.00000000 0.72447088 0.017598645 0.16188086
## PHQ 0.25536474 0.72447088 1.00000000 -0.081170436 0.10374352
## Q8.5.1_13 -0.00210729 0.01759865 -0.08117044 1.000000000 0.03660788
## Q8.5.1_3 0.20026516 0.16188086 0.10374352 0.036607883 1.00000000
## Q8.5.1_5 0.20452257 0.23506583 0.15592635 0.204288467 0.21523063
## Q8.5.1_5
## SUM_QOLIE10 0.12583620
## Q3.7_1 0.03962111
## Q3.7_2 -0.20046125
## Q3.7_3 -0.20944079
## Q3.7_4 -0.26014210
## Anxiety 0.20452257
## GAD2 0.23506583
## PHQ 0.15592635
## Q8.5.1_13 0.20428847
## Q8.5.1_3 0.21523063
## Q8.5.1_5 1.00000000
library(reshape)
##
## Attaching package: 'reshape'
## The following objects are masked from 'package:tidyr':
##
## expand, smiths
## The following object is masked from 'package:lubridate':
##
## stamp
## The following object is masked from 'package:dplyr':
##
## rename
## The following object is masked from 'package:data.table':
##
## melt
melted_corrmat_pearson <- melt(corrmat_pearson)
head(melted_corrmat_pearson)
## X1 X2 value
## 1 SUM_QOLIE10 SUM_QOLIE10 1.00000000
## 2 Q3.7_1 SUM_QOLIE10 -0.03777036
## 3 Q3.7_2 SUM_QOLIE10 -0.24801887
## 4 Q3.7_3 SUM_QOLIE10 -0.17435525
## 5 Q3.7_4 SUM_QOLIE10 -0.09137688
## 6 Anxiety SUM_QOLIE10 0.23973918
ggplot(melted_corrmat_pearson, aes(x = X1, y = X2, fill = value)) +
geom_tile() +
labs(x = 'Variables', y = 'Variables') +
coord_fixed()
corrmat_pearson_rounded <- round(corrmat_pearson, 2)
melted_corrmat_pearson_rounded <- melt(corrmat_pearson_rounded)
ggplot(melted_corrmat_pearson_rounded, aes(x = X1, y = X2, fill = value)) +
labs(title = "QOLIE-10-P") +
geom_tile(color = "white") +
scale_fill_gradient2(low = "blue", mid = "white", high = "red", midpoint = 0, limit = c(-1,1),
space = "Lab", name = "Correlation coefficient") +
theme_minimal() +
theme(axis.text.x = element_text(angle = 45, size = 12, hjust = 1, vjust = 1),
axis.text.y = element_text(size = 12, hjust = 1, vjust = 0.5),
axis.title.x = element_blank(), axis.title.y = element_blank(),
panel.grid.major = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.ticks = element_blank()) +
geom_text(aes(x = X1, y = X2, label = value), color = "black", size = 4) +
coord_fixed()
corrplot(corrmat_pearson, method = "pie")
PTSD, suicidality, COVID item - sense of control (Epilepsy)
## Q8.5.1_1 Q8.5.1_2 Q8.5.1_3 Q8.5.1_4 Q8.5.1_5
## Q8.5.1_1 1.000000000 0.523250769 0.21527730 0.16362118 0.113750678
## Q8.5.1_2 0.523250769 1.000000000 0.14008584 0.17801509 0.250703222
## Q8.5.1_3 0.215277297 0.140085839 1.00000000 0.34923365 0.222670692
## Q8.5.1_4 0.163621177 0.178015089 0.34923365 1.00000000 0.498607338
## Q8.5.1_5 0.113750678 0.250703222 0.22267069 0.49860734 1.000000000
## Q8.5.1_6 0.180692346 0.291621216 0.07537155 0.14035209 0.298180098
## Q8.5.1_7 0.181334421 0.202283810 0.01379031 0.13517076 0.160008536
## Q8.5.1_8 0.214252608 0.106842049 0.22848725 0.35410500 0.440032614
## Q8.5.1_9 0.332625751 0.224730579 0.13392146 0.01340932 0.007417689
## Q8.5.1_10 0.122053424 0.066054636 0.12574851 0.24799971 0.394117019
## Q8.5.1_11 0.206621644 0.245254844 0.06623558 0.12649065 0.170596994
## Q8.5.1_12 0.278586408 0.236060252 0.07936943 0.15809724 0.154945549
## Q8.5.1_13 0.250329844 0.311195586 0.04626153 0.18300017 0.197250111
## Q8.5.1_14 0.214973235 0.317497544 0.11469347 0.11948668 0.046862188
## Q8.5.1_15 0.189560511 0.217716630 0.11274370 0.38169713 0.462391915
## Q8.5.1_16 0.288568545 0.134973173 0.41432195 0.23723294 0.177913487
## Q8.5.1_17 0.096203368 0.201058609 0.18829653 0.44944481 0.690497489
## Q8.5.1_18 0.168076510 0.164654833 0.15652701 0.42368476 0.374369236
## Q8.5.1_19 0.172351603 0.169670650 0.08469471 0.01360959 0.050248774
## Q8.5.1_20 0.299681943 0.362592573 0.03280798 0.14992358 0.109815390
## Q8.5.1_21 0.503887428 0.246933443 0.15696455 0.15253526 0.142394469
## Q3.3 -0.023472402 0.063086098 -0.04570131 -0.04729844 -0.058091742
## Q3.4 0.005726016 -0.045742400 0.05261358 0.05131785 0.056664881
## Q3.5 -0.010473943 0.010682810 -0.12346194 -0.08304671 -0.052563702
## Q3.6 -0.029497360 -0.039019365 0.14724601 0.12246892 0.099356322
## Q153_1 0.093958423 -0.018050568 0.12633273 0.18555607 0.161463672
## Q153_2 0.094291273 0.001991626 0.04720026 0.23562974 0.234843920
## Q153_3 0.184525179 0.080020751 0.09135124 0.16023510 0.172175435
## Q153_4 0.130570247 0.022535119 0.10477683 0.13394689 0.214380118
## Q8.5.1_6 Q8.5.1_7 Q8.5.1_8 Q8.5.1_9 Q8.5.1_10
## Q8.5.1_1 0.180692346 0.18133442 0.21425261 0.332625751 0.12205342
## Q8.5.1_2 0.291621216 0.20228381 0.10684205 0.224730579 0.06605464
## Q8.5.1_3 0.075371547 0.01379031 0.22848725 0.133921462 0.12574851
## Q8.5.1_4 0.140352085 0.13517076 0.35410500 0.013409317 0.24799971
## Q8.5.1_5 0.298180098 0.16000854 0.44003261 0.007417689 0.39411702
## Q8.5.1_6 1.000000000 0.35221962 0.23405741 0.138114846 0.19978779
## Q8.5.1_7 0.352219616 1.00000000 0.18727043 0.223402136 0.17641852
## Q8.5.1_8 0.234057414 0.18727043 1.00000000 0.095216683 0.48274484
## Q8.5.1_9 0.138114846 0.22340214 0.09521668 1.000000000 0.12257055
## Q8.5.1_10 0.199787792 0.17641852 0.48274484 0.122570546 1.00000000
## Q8.5.1_11 0.346813482 0.28474884 0.20902015 0.197460288 0.21569122
## Q8.5.1_12 0.294165839 0.32493103 0.14965530 0.289665926 0.24162492
## Q8.5.1_13 0.251073290 0.35525682 0.23697224 0.125565815 0.13926949
## Q8.5.1_14 0.300603341 0.27835897 0.18661414 0.307397904 0.23789564
## Q8.5.1_15 0.207793385 0.23341080 0.37919276 -0.013080573 0.32657349
## Q8.5.1_16 0.047256726 0.04421898 0.15166981 0.200695946 0.11987181
## Q8.5.1_17 0.161923018 0.13042890 0.39442929 -0.078772184 0.37474543
## Q8.5.1_18 0.180851750 0.12668900 0.28730992 -0.009674367 0.42070427
## Q8.5.1_19 0.305795472 0.26891618 0.04182053 0.036198760 0.11254138
## Q8.5.1_20 0.201361137 0.32072294 0.09216616 0.208013345 0.18831697
## Q8.5.1_21 0.166487170 0.26356983 0.21385004 0.263695153 0.12187165
## Q3.3 0.002397319 0.09889684 -0.11934824 0.054552383 -0.17257923
## Q3.4 -0.010994688 -0.08070880 0.07946883 -0.129139914 0.13347196
## Q3.5 -0.040200518 0.05561297 -0.09101718 -0.016861101 -0.04697539
## Q3.6 0.019383919 -0.02729133 0.10604606 0.011611304 0.02041993
## Q153_1 0.037812549 0.01590507 0.18928987 0.010696473 0.17910407
## Q153_2 0.002028117 0.14191108 0.20009516 0.062569944 0.16970859
## Q153_3 0.031417282 0.12950822 0.13271659 0.122756679 0.12703656
## Q153_4 0.024996480 0.06254530 0.22085544 0.099009952 0.13563988
## Q8.5.1_11 Q8.5.1_12 Q8.5.1_13 Q8.5.1_14 Q8.5.1_15
## Q8.5.1_1 0.206621644 0.278586408 0.25032984 0.214973235 0.18956051
## Q8.5.1_2 0.245254844 0.236060252 0.31119559 0.317497544 0.21771663
## Q8.5.1_3 0.066235584 0.079369433 0.04626153 0.114693471 0.11274370
## Q8.5.1_4 0.126490647 0.158097236 0.18300017 0.119486680 0.38169713
## Q8.5.1_5 0.170596994 0.154945549 0.19725011 0.046862188 0.46239191
## Q8.5.1_6 0.346813482 0.294165839 0.25107329 0.300603341 0.20779338
## Q8.5.1_7 0.284748838 0.324931028 0.35525682 0.278358974 0.23341080
## Q8.5.1_8 0.209020155 0.149655302 0.23697224 0.186614137 0.37919276
## Q8.5.1_9 0.197460288 0.289665926 0.12556582 0.307397904 -0.01308057
## Q8.5.1_10 0.215691224 0.241624915 0.13926949 0.237895644 0.32657349
## Q8.5.1_11 1.000000000 0.493037224 0.28862863 0.305527300 0.28586922
## Q8.5.1_12 0.493037224 1.000000000 0.27591862 0.301623667 0.25823537
## Q8.5.1_13 0.288628629 0.275918620 1.00000000 0.285271183 0.30961081
## Q8.5.1_14 0.305527300 0.301623667 0.28527118 1.000000000 0.21219281
## Q8.5.1_15 0.285869220 0.258235368 0.30961081 0.212192812 1.00000000
## Q8.5.1_16 -0.020812051 0.054519169 0.04340008 0.061194785 0.11063650
## Q8.5.1_17 0.179934649 0.118509476 0.23006892 0.081731650 0.53275672
## Q8.5.1_18 0.147995174 0.176307718 0.25696614 0.178550130 0.43016189
## Q8.5.1_19 0.318639027 0.227915585 0.24076317 0.232156731 0.21954956
## Q8.5.1_20 0.294891371 0.230965181 0.36188657 0.400870775 0.27603529
## Q8.5.1_21 0.219773202 0.240193607 0.26782196 0.253220525 0.28986506
## Q3.3 -0.067678853 -0.083951807 -0.00846070 -0.014166749 -0.13558780
## Q3.4 0.009244803 0.052801654 0.01555972 -0.009617189 0.12735228
## Q3.5 -0.009155049 -0.017015319 -0.01162590 -0.052321592 -0.03942040
## Q3.6 -0.052777628 0.003611273 0.02586092 0.026493365 0.07038540
## Q153_1 -0.002426531 0.074306254 -0.04663739 -0.004522094 0.10516228
## Q153_2 0.063288674 0.094301115 0.02203836 -0.013125643 0.14497341
## Q153_3 0.112003039 0.189828935 -0.02046163 0.074073730 0.14012649
## Q153_4 0.089342155 0.059167589 -0.01885181 0.005143512 0.06678737
## Q8.5.1_16 Q8.5.1_17 Q8.5.1_18 Q8.5.1_19 Q8.5.1_20
## Q8.5.1_1 0.28856855 0.09620337 0.168076510 0.172351603 0.29968194
## Q8.5.1_2 0.13497317 0.20105861 0.164654833 0.169670650 0.36259257
## Q8.5.1_3 0.41432195 0.18829653 0.156527011 0.084694708 0.03280798
## Q8.5.1_4 0.23723294 0.44944481 0.423684757 0.013609594 0.14992358
## Q8.5.1_5 0.17791349 0.69049749 0.374369236 0.050248774 0.10981539
## Q8.5.1_6 0.04725673 0.16192302 0.180851750 0.305795472 0.20136114
## Q8.5.1_7 0.04421898 0.13042890 0.126689003 0.268916175 0.32072294
## Q8.5.1_8 0.15166981 0.39442929 0.287309919 0.041820529 0.09216616
## Q8.5.1_9 0.20069595 -0.07877218 -0.009674367 0.036198760 0.20801334
## Q8.5.1_10 0.11987181 0.37474543 0.420704266 0.112541376 0.18831697
## Q8.5.1_11 -0.02081205 0.17993465 0.147995174 0.318639027 0.29489137
## Q8.5.1_12 0.05451917 0.11850948 0.176307718 0.227915585 0.23096518
## Q8.5.1_13 0.04340008 0.23006892 0.256966139 0.240763167 0.36188657
## Q8.5.1_14 0.06119479 0.08173165 0.178550130 0.232156731 0.40087078
## Q8.5.1_15 0.11063650 0.53275672 0.430161886 0.219549559 0.27603529
## Q8.5.1_16 1.00000000 0.22915412 0.186314640 0.025495751 0.08232234
## Q8.5.1_17 0.22915412 1.00000000 0.516878431 0.149974322 0.16965813
## Q8.5.1_18 0.18631464 0.51687843 1.000000000 0.209826350 0.24602742
## Q8.5.1_19 0.02549575 0.14997432 0.209826350 1.000000000 0.23180522
## Q8.5.1_20 0.08232234 0.16965813 0.246027423 0.231805220 1.00000000
## Q8.5.1_21 0.23272204 0.17549782 0.215812265 0.147384543 0.46169966
## Q3.3 -0.06402880 -0.09031030 -0.212024945 -0.046295483 -0.03273828
## Q3.4 0.05857729 0.10958441 0.204928309 0.064739363 0.02991704
## Q3.5 -0.17547253 -0.06590821 -0.234463938 -0.019309624 0.08988186
## Q3.6 0.20634667 0.12983437 0.246839157 -0.003345144 -0.09102585
## Q153_1 0.21547786 0.13435144 0.187152995 -0.023222856 -0.05609896
## Q153_2 0.14678663 0.22165511 0.176142443 -0.028313445 -0.02036590
## Q153_3 0.24167382 0.17525567 0.135833111 0.038632861 -0.04183044
## Q153_4 0.29995922 0.17522925 0.146321962 -0.055401387 -0.03513301
## Q8.5.1_21 Q3.3 Q3.4 Q3.5 Q3.6
## Q8.5.1_1 0.50388743 -0.023472402 0.005726016 -0.010473943 -0.029497360
## Q8.5.1_2 0.24693344 0.063086098 -0.045742400 0.010682810 -0.039019365
## Q8.5.1_3 0.15696455 -0.045701309 0.052613583 -0.123461936 0.147246014
## Q8.5.1_4 0.15253526 -0.047298439 0.051317852 -0.083046709 0.122468919
## Q8.5.1_5 0.14239447 -0.058091742 0.056664881 -0.052563702 0.099356322
## Q8.5.1_6 0.16648717 0.002397319 -0.010994688 -0.040200518 0.019383919
## Q8.5.1_7 0.26356983 0.098896837 -0.080708803 0.055612969 -0.027291329
## Q8.5.1_8 0.21385004 -0.119348242 0.079468834 -0.091017180 0.106046058
## Q8.5.1_9 0.26369515 0.054552383 -0.129139914 -0.016861101 0.011611304
## Q8.5.1_10 0.12187165 -0.172579225 0.133471956 -0.046975392 0.020419929
## Q8.5.1_11 0.21977320 -0.067678853 0.009244803 -0.009155049 -0.052777628
## Q8.5.1_12 0.24019361 -0.083951807 0.052801654 -0.017015319 0.003611273
## Q8.5.1_13 0.26782196 -0.008460700 0.015559719 -0.011625901 0.025860920
## Q8.5.1_14 0.25322052 -0.014166749 -0.009617189 -0.052321592 0.026493365
## Q8.5.1_15 0.28986506 -0.135587804 0.127352277 -0.039420401 0.070385404
## Q8.5.1_16 0.23272204 -0.064028802 0.058577286 -0.175472531 0.206346671
## Q8.5.1_17 0.17549782 -0.090310301 0.109584410 -0.065908206 0.129834365
## Q8.5.1_18 0.21581226 -0.212024945 0.204928309 -0.234463938 0.246839157
## Q8.5.1_19 0.14738454 -0.046295483 0.064739363 -0.019309624 -0.003345144
## Q8.5.1_20 0.46169966 -0.032738281 0.029917040 0.089881861 -0.091025854
## Q8.5.1_21 1.00000000 -0.131519651 0.101058296 -0.077560153 0.059208939
## Q3.3 -0.13151965 1.000000000 -0.826691201 0.404275960 -0.362176676
## Q3.4 0.10105830 -0.826691201 1.000000000 -0.351304308 0.388972176
## Q3.5 -0.07756015 0.404275960 -0.351304308 1.000000000 -0.887575089
## Q3.6 0.05920894 -0.362176676 0.388972176 -0.887575089 1.000000000
## Q153_1 0.09867453 -0.249299793 0.249802830 -0.220361050 0.247327932
## Q153_2 0.13191917 -0.165431824 0.177614088 -0.138729625 0.208341304
## Q153_3 0.13405102 -0.150048572 0.132364807 -0.162000666 0.237001697
## Q153_4 0.17252225 -0.217040239 0.183485797 -0.131102029 0.168431712
## Q153_1 Q153_2 Q153_3 Q153_4
## Q8.5.1_1 0.093958423 0.094291273 0.18452518 0.130570247
## Q8.5.1_2 -0.018050568 0.001991626 0.08002075 0.022535119
## Q8.5.1_3 0.126332727 0.047200262 0.09135124 0.104776832
## Q8.5.1_4 0.185556071 0.235629735 0.16023510 0.133946892
## Q8.5.1_5 0.161463672 0.234843920 0.17217543 0.214380118
## Q8.5.1_6 0.037812549 0.002028117 0.03141728 0.024996480
## Q8.5.1_7 0.015905073 0.141911084 0.12950822 0.062545296
## Q8.5.1_8 0.189289875 0.200095159 0.13271659 0.220855443
## Q8.5.1_9 0.010696473 0.062569944 0.12275668 0.099009952
## Q8.5.1_10 0.179104066 0.169708591 0.12703656 0.135639882
## Q8.5.1_11 -0.002426531 0.063288674 0.11200304 0.089342155
## Q8.5.1_12 0.074306254 0.094301115 0.18982893 0.059167589
## Q8.5.1_13 -0.046637386 0.022038363 -0.02046163 -0.018851810
## Q8.5.1_14 -0.004522094 -0.013125643 0.07407373 0.005143512
## Q8.5.1_15 0.105162279 0.144973410 0.14012649 0.066787365
## Q8.5.1_16 0.215477862 0.146786630 0.24167382 0.299959220
## Q8.5.1_17 0.134351444 0.221655113 0.17525567 0.175229254
## Q8.5.1_18 0.187152995 0.176142443 0.13583311 0.146321962
## Q8.5.1_19 -0.023222856 -0.028313445 0.03863286 -0.055401387
## Q8.5.1_20 -0.056098960 -0.020365901 -0.04183044 -0.035133013
## Q8.5.1_21 0.098674530 0.131919170 0.13405102 0.172522251
## Q3.3 -0.249299793 -0.165431824 -0.15004857 -0.217040239
## Q3.4 0.249802830 0.177614088 0.13236481 0.183485797
## Q3.5 -0.220361050 -0.138729625 -0.16200067 -0.131102029
## Q3.6 0.247327932 0.208341304 0.23700170 0.168431712
## Q153_1 1.000000000 0.675623145 0.57125241 0.627458798
## Q153_2 0.675623145 1.000000000 0.62038410 0.611810317
## Q153_3 0.571252409 0.620384101 1.00000000 0.610132707
## Q153_4 0.627458798 0.611810317 0.61013271 1.000000000
## X1 X2 value
## 1 Q8.5.1_1 Q8.5.1_1 1.0000000
## 2 Q8.5.1_2 Q8.5.1_1 0.5232508
## 3 Q8.5.1_3 Q8.5.1_1 0.2152773
## 4 Q8.5.1_4 Q8.5.1_1 0.1636212
## 5 Q8.5.1_5 Q8.5.1_1 0.1137507
## 6 Q8.5.1_6 Q8.5.1_1 0.1806923
PTSD, suicidality, COVID item - sense of control (Caregivers)
## Q8.5.1_1 Q8.5.1_2 Q8.5.1_3 Q8.5.1_4 Q8.5.1_5
## Q8.5.1_1 1.00000000 0.48309291 0.16328221 0.18474798 0.22877684
## Q8.5.1_2 0.48309291 1.00000000 0.15790952 0.14282666 0.17972693
## Q8.5.1_3 0.16328221 0.15790952 1.00000000 0.35461117 0.35375413
## Q8.5.1_4 0.18474798 0.14282666 0.35461117 1.00000000 0.60226296
## Q8.5.1_5 0.22877684 0.17972693 0.35375413 0.60226296 1.00000000
## Q8.5.1_6 0.29476593 0.19503546 0.10909093 0.10159640 0.09962872
## Q8.5.1_7 0.19056710 0.24485991 0.18044928 0.13643311 0.14642226
## Q8.5.1_8 0.27850754 0.20171999 0.19376611 0.14144097 0.11956255
## Q8.5.1_9 0.21300769 0.09986245 0.21052675 0.30427113 0.33006745
## Q8.5.1_10 0.24387409 0.18955213 0.21574045 0.37431033 0.40306116
## Q8.5.1_11 0.22679984 0.16476943 0.12018718 0.03834627 0.11649474
## Q8.5.1_12 0.08657517 0.12234531 0.20481156 0.03276753 0.11584871
## Q8.5.1_13 0.35724508 0.29921679 0.11783319 0.14476429 0.19669556
## Q8.5.1_14 0.32070393 0.27233258 0.09908441 0.07635447 0.09504355
## Q8.5.1_15 0.15904244 0.18525939 0.26130209 0.44000048 0.48453413
## Q8.5.1_16 0.20819959 0.08558059 0.32359124 0.33134704 0.28840802
## Q8.5.1_17 0.18020210 0.11704370 0.19306071 0.39833628 0.44626431
## Q8.5.1_18 0.12572149 0.23952819 0.23493192 0.39653897 0.35242366
## Q8.5.1_19 0.28628782 0.22290243 0.13217963 0.09190830 0.11127130
## Q8.5.1_20 0.33250058 0.26961212 0.12638768 0.12125792 0.16960437
## Q8.5.1_21 0.48833850 0.37218518 0.16835238 0.13762845 0.19328102
## Q3.3 -0.03997953 0.10255449 -0.09885233 -0.09261128 -0.05191173
## Q3.4 0.07540732 -0.06830659 0.10157410 0.10484807 0.12983531
## Q3.5 0.02732426 0.05638382 -0.05559532 -0.07421160 -0.07760598
## Q3.6 0.02071055 -0.05947327 0.07337232 0.10176320 0.16397375
## Q153_1 0.07047872 0.07984203 0.02458213 0.25767628 0.19650517
## Q153_2 0.07002717 0.06148956 0.09222120 0.22213967 0.20788062
## Q153_3 0.07825934 -0.04842568 0.05691201 0.15132310 0.19207342
## Q153_4 0.03356812 -0.06177265 0.13352755 0.22665537 0.22215285
## Q8.5.1_6 Q8.5.1_7 Q8.5.1_8 Q8.5.1_9 Q8.5.1_10
## Q8.5.1_1 0.2947659304 0.19056710 0.278507537 0.21300769 0.243874089
## Q8.5.1_2 0.1950354560 0.24485991 0.201719990 0.09986245 0.189552129
## Q8.5.1_3 0.1090909270 0.18044928 0.193766115 0.21052675 0.215740448
## Q8.5.1_4 0.1015963998 0.13643311 0.141440967 0.30427113 0.374310327
## Q8.5.1_5 0.0996287240 0.14642226 0.119562548 0.33006745 0.403061163
## Q8.5.1_6 1.0000000000 0.26319023 0.182247368 0.14473907 0.125077606
## Q8.5.1_7 0.2631902349 1.00000000 0.167435658 0.13221334 0.124764337
## Q8.5.1_8 0.1822473682 0.16743566 1.000000000 0.37978190 0.238483929
## Q8.5.1_9 0.1447390663 0.13221334 0.379781902 1.00000000 0.489323668
## Q8.5.1_10 0.1250776055 0.12476434 0.238483929 0.48932367 1.000000000
## Q8.5.1_11 0.3741442082 0.19546297 0.076574425 0.09846938 0.104069385
## Q8.5.1_12 0.1880060998 0.28940343 0.144624457 0.09985314 0.089104409
## Q8.5.1_13 0.2815854268 0.32668286 0.211462908 0.18828126 0.221384218
## Q8.5.1_14 0.3123400317 0.28373258 0.197441542 0.03586610 0.001540932
## Q8.5.1_15 0.1352348303 0.11456154 0.060586805 0.24057392 0.388797114
## Q8.5.1_16 0.0187789105 0.04929298 0.078062261 0.10926490 0.225125651
## Q8.5.1_17 0.1492761709 0.11900348 -0.006964725 0.30287338 0.408440029
## Q8.5.1_18 0.1205388443 0.13721559 0.188350503 0.33394375 0.378435996
## Q8.5.1_19 0.3752677464 0.22627513 0.189480046 0.16449272 0.192867354
## Q8.5.1_20 0.3401073706 0.35746279 0.159750222 0.11768465 0.140238775
## Q8.5.1_21 0.2630013848 0.32620152 0.181825951 0.26635874 0.266232261
## Q3.3 -0.0935226220 0.04391875 0.047701362 -0.04022045 -0.047829579
## Q3.4 0.0252317345 -0.09142699 -0.035109037 0.07272107 0.076600415
## Q3.5 -0.0537887250 0.01249033 0.092819253 -0.08744676 -0.061498398
## Q3.6 0.0354857717 -0.09675988 -0.049627507 0.06970566 0.102866330
## Q153_1 -0.0008458003 -0.12661700 0.102427325 0.09008231 0.198182147
## Q153_2 0.0055316707 -0.10630897 0.042696407 0.15473432 0.186953944
## Q153_3 -0.0247990430 -0.19418834 0.045437793 0.08872215 0.152450862
## Q153_4 -0.0343909173 -0.08347477 0.020321058 0.08112354 0.103362650
## Q8.5.1_11 Q8.5.1_12 Q8.5.1_13 Q8.5.1_14 Q8.5.1_15
## Q8.5.1_1 0.226799835 0.086575165 0.357245083 0.3207039335 0.15904244
## Q8.5.1_2 0.164769425 0.122345310 0.299216787 0.2723325821 0.18525939
## Q8.5.1_3 0.120187184 0.204811562 0.117833194 0.0990844056 0.26130209
## Q8.5.1_4 0.038346273 0.032767534 0.144764287 0.0763544687 0.44000048
## Q8.5.1_5 0.116494739 0.115848712 0.196695560 0.0950435493 0.48453413
## Q8.5.1_6 0.374144208 0.188006100 0.281585427 0.3123400317 0.13523483
## Q8.5.1_7 0.195462973 0.289403432 0.326682864 0.2837325839 0.11456154
## Q8.5.1_8 0.076574425 0.144624457 0.211462908 0.1974415420 0.06058680
## Q8.5.1_9 0.098469384 0.099853145 0.188281263 0.0358660962 0.24057392
## Q8.5.1_10 0.104069385 0.089104409 0.221384218 0.0015409323 0.38879711
## Q8.5.1_11 1.000000000 0.393656274 0.276883856 0.3143535672 0.22271976
## Q8.5.1_12 0.393656274 1.000000000 0.199986414 0.1907504321 0.08263051
## Q8.5.1_13 0.276883856 0.199986414 1.000000000 0.3594987885 0.20936928
## Q8.5.1_14 0.314353567 0.190750432 0.359498789 1.0000000000 0.16923740
## Q8.5.1_15 0.222719762 0.082630508 0.209369283 0.1692373979 1.00000000
## Q8.5.1_16 -0.086940068 -0.095307927 0.057873472 -0.0547011219 0.14403481
## Q8.5.1_17 0.140535259 0.006999850 0.168535308 0.0059487074 0.46751175
## Q8.5.1_18 0.089007214 0.204748048 0.129944023 0.0216011337 0.44121977
## Q8.5.1_19 0.320534041 0.174747635 0.247635474 0.3204981503 0.15045396
## Q8.5.1_20 0.300089412 0.197083739 0.382945932 0.4049913337 0.17200628
## Q8.5.1_21 0.214947214 0.191397052 0.383519636 0.2610125986 0.25645800
## Q3.3 0.072740748 0.080159183 0.011692864 0.0567524674 -0.02886682
## Q3.4 -0.053606408 -0.110982433 -0.003517007 -0.0501688569 0.04606065
## Q3.5 -0.011523034 0.011199183 0.044767414 -0.0001247129 -0.04487413
## Q3.6 0.007733446 -0.029869782 -0.054206748 0.0434492172 0.08976896
## Q153_1 0.012479049 -0.086364296 -0.042186768 -0.0278447429 0.11983013
## Q153_2 -0.007486545 -0.002863941 -0.092324462 -0.0947415558 0.12642627
## Q153_3 -0.074755906 -0.065876162 -0.010104119 -0.1347845777 0.07141942
## Q153_4 -0.081551641 -0.012637505 -0.070945800 -0.1251042189 0.10342020
## Q8.5.1_16 Q8.5.1_17 Q8.5.1_18 Q8.5.1_19 Q8.5.1_20
## Q8.5.1_1 0.20819959 0.180202100 0.12572149 0.28628782 0.332500577
## Q8.5.1_2 0.08558059 0.117043701 0.23952819 0.22290243 0.269612119
## Q8.5.1_3 0.32359124 0.193060710 0.23493192 0.13217963 0.126387682
## Q8.5.1_4 0.33134704 0.398336275 0.39653897 0.09190830 0.121257918
## Q8.5.1_5 0.28840802 0.446264313 0.35242366 0.11127130 0.169604366
## Q8.5.1_6 0.01877891 0.149276171 0.12053884 0.37526775 0.340107371
## Q8.5.1_7 0.04929298 0.119003477 0.13721559 0.22627513 0.357462787
## Q8.5.1_8 0.07806226 -0.006964725 0.18835050 0.18948005 0.159750222
## Q8.5.1_9 0.10926490 0.302873380 0.33394375 0.16449272 0.117684645
## Q8.5.1_10 0.22512565 0.408440029 0.37843600 0.19286735 0.140238775
## Q8.5.1_11 -0.08694007 0.140535259 0.08900721 0.32053404 0.300089412
## Q8.5.1_12 -0.09530793 0.006999850 0.20474805 0.17474764 0.197083739
## Q8.5.1_13 0.05787347 0.168535308 0.12994402 0.24763547 0.382945932
## Q8.5.1_14 -0.05470112 0.005948707 0.02160113 0.32049815 0.404991334
## Q8.5.1_15 0.14403481 0.467511752 0.44121977 0.15045396 0.172006276
## Q8.5.1_16 1.00000000 0.263135904 0.18447580 0.05078196 0.051591413
## Q8.5.1_17 0.26313590 1.000000000 0.39132904 0.11410887 0.103417538
## Q8.5.1_18 0.18447580 0.391329036 1.00000000 0.16323104 0.095750798
## Q8.5.1_19 0.05078196 0.114108866 0.16323104 1.00000000 0.330424024
## Q8.5.1_20 0.05159141 0.103417538 0.09575080 0.33042402 1.000000000
## Q8.5.1_21 0.21332468 0.171625989 0.15286955 0.31819830 0.608947165
## Q3.3 -0.14365349 -0.060131344 -0.02007725 0.01107915 -0.033888711
## Q3.4 0.16643057 0.107208689 0.02186744 -0.03472725 0.008851924
## Q3.5 -0.15306393 -0.098355084 -0.14445123 0.07916202 -0.009395180
## Q3.6 0.18522104 0.155140181 0.13455471 -0.09496976 0.042246178
## Q153_1 0.15821699 0.220147625 0.21519759 -0.06510657 -0.019160147
## Q153_2 0.10339613 0.205338510 0.21506449 -0.10947567 -0.088511421
## Q153_3 0.18428470 0.122789291 0.18117264 -0.11989456 -0.078120293
## Q153_4 0.25277938 0.161009229 0.13272952 -0.20461413 -0.109441768
## Q8.5.1_21 Q3.3 Q3.4 Q3.5 Q3.6
## Q8.5.1_1 0.48833850 -0.03997953 0.075407320 0.0273242621 0.020710546
## Q8.5.1_2 0.37218518 0.10255449 -0.068306587 0.0563838227 -0.059473268
## Q8.5.1_3 0.16835238 -0.09885233 0.101574099 -0.0555953156 0.073372323
## Q8.5.1_4 0.13762845 -0.09261128 0.104848071 -0.0742115955 0.101763202
## Q8.5.1_5 0.19328102 -0.05191173 0.129835307 -0.0776059774 0.163973755
## Q8.5.1_6 0.26300138 -0.09352262 0.025231734 -0.0537887250 0.035485772
## Q8.5.1_7 0.32620152 0.04391875 -0.091426992 0.0124903298 -0.096759882
## Q8.5.1_8 0.18182595 0.04770136 -0.035109037 0.0928192526 -0.049627507
## Q8.5.1_9 0.26635874 -0.04022045 0.072721072 -0.0874467595 0.069705658
## Q8.5.1_10 0.26623226 -0.04782958 0.076600415 -0.0614983984 0.102866330
## Q8.5.1_11 0.21494721 0.07274075 -0.053606408 -0.0115230340 0.007733446
## Q8.5.1_12 0.19139705 0.08015918 -0.110982433 0.0111991834 -0.029869782
## Q8.5.1_13 0.38351964 0.01169286 -0.003517007 0.0447674135 -0.054206748
## Q8.5.1_14 0.26101260 0.05675247 -0.050168857 -0.0001247129 0.043449217
## Q8.5.1_15 0.25645800 -0.02886682 0.046060653 -0.0448741343 0.089768962
## Q8.5.1_16 0.21332468 -0.14365349 0.166430572 -0.1530639304 0.185221041
## Q8.5.1_17 0.17162599 -0.06013134 0.107208689 -0.0983550840 0.155140181
## Q8.5.1_18 0.15286955 -0.02007725 0.021867444 -0.1444512314 0.134554710
## Q8.5.1_19 0.31819830 0.01107915 -0.034727247 0.0791620221 -0.094969760
## Q8.5.1_20 0.60894717 -0.03388871 0.008851924 -0.0093951795 0.042246178
## Q8.5.1_21 1.00000000 -0.06797097 0.069593701 -0.0336564695 0.031741620
## Q3.3 -0.06797097 1.00000000 -0.781193158 0.3986308354 -0.266378310
## Q3.4 0.06959370 -0.78119316 1.000000000 -0.2610839672 0.282771987
## Q3.5 -0.03365647 0.39863084 -0.261083967 1.0000000000 -0.827890240
## Q3.6 0.03174162 -0.26637831 0.282771987 -0.8278902398 1.000000000
## Q153_1 0.01980681 -0.07529644 0.124868026 -0.1863485217 0.249088253
## Q153_2 -0.03597500 -0.06550694 0.094131195 -0.1368654403 0.191359107
## Q153_3 0.01311904 -0.11314541 0.150422043 -0.1381736700 0.222332713
## Q153_4 0.01120924 -0.14377671 0.177805220 -0.1860873141 0.276133584
## Q153_1 Q153_2 Q153_3 Q153_4
## Q8.5.1_1 0.0704787167 0.070027171 0.07825934 0.03356812
## Q8.5.1_2 0.0798420291 0.061489563 -0.04842568 -0.06177265
## Q8.5.1_3 0.0245821345 0.092221205 0.05691201 0.13352755
## Q8.5.1_4 0.2576762782 0.222139673 0.15132310 0.22665537
## Q8.5.1_5 0.1965051746 0.207880621 0.19207342 0.22215285
## Q8.5.1_6 -0.0008458003 0.005531671 -0.02479904 -0.03439092
## Q8.5.1_7 -0.1266169951 -0.106308967 -0.19418834 -0.08347477
## Q8.5.1_8 0.1024273253 0.042696407 0.04543779 0.02032106
## Q8.5.1_9 0.0900823073 0.154734321 0.08872215 0.08112354
## Q8.5.1_10 0.1981821470 0.186953944 0.15245086 0.10336265
## Q8.5.1_11 0.0124790491 -0.007486545 -0.07475591 -0.08155164
## Q8.5.1_12 -0.0863642955 -0.002863941 -0.06587616 -0.01263751
## Q8.5.1_13 -0.0421867677 -0.092324462 -0.01010412 -0.07094580
## Q8.5.1_14 -0.0278447429 -0.094741556 -0.13478458 -0.12510422
## Q8.5.1_15 0.1198301348 0.126426273 0.07141942 0.10342020
## Q8.5.1_16 0.1582169903 0.103396135 0.18428470 0.25277938
## Q8.5.1_17 0.2201476254 0.205338510 0.12278929 0.16100923
## Q8.5.1_18 0.2151975875 0.215064485 0.18117264 0.13272952
## Q8.5.1_19 -0.0651065720 -0.109475674 -0.11989456 -0.20461413
## Q8.5.1_20 -0.0191601468 -0.088511421 -0.07812029 -0.10944177
## Q8.5.1_21 0.0198068144 -0.035975002 0.01311904 0.01120924
## Q3.3 -0.0752964357 -0.065506936 -0.11314541 -0.14377671
## Q3.4 0.1248680256 0.094131195 0.15042204 0.17780522
## Q3.5 -0.1863485217 -0.136865440 -0.13817367 -0.18608731
## Q3.6 0.2490882526 0.191359107 0.22233271 0.27613358
## Q153_1 1.0000000000 0.629103251 0.55066851 0.51054211
## Q153_2 0.6291032510 1.000000000 0.61443274 0.57855309
## Q153_3 0.5506685147 0.614432744 1.00000000 0.61206133
## Q153_4 0.5105421145 0.578553089 0.61206133 1.00000000
## X1 X2 value
## 1 Q8.5.1_1 Q8.5.1_1 1.0000000
## 2 Q8.5.1_2 Q8.5.1_1 0.4830929
## 3 Q8.5.1_3 Q8.5.1_1 0.1632822
## 4 Q8.5.1_4 Q8.5.1_1 0.1847480
## 5 Q8.5.1_5 Q8.5.1_1 0.2287768
## 6 Q8.5.1_6 Q8.5.1_1 0.2947659
Basic correlations between the financial item, COVID items, and resiliency
## Q8.5.1_1 Q8.5.1_2 Q8.5.1_3 Q8.5.1_4 Q8.5.1_5
## Q8.5.1_1 1.000000000 0.50097273 0.19508852 0.17523456 0.17034466
## Q8.5.1_2 0.500972726 1.00000000 0.14507855 0.15909213 0.21360901
## Q8.5.1_3 0.195088523 0.14507855 1.00000000 0.35353344 0.29022507
## Q8.5.1_4 0.175234564 0.15909213 0.35353344 1.00000000 0.55017816
## Q8.5.1_5 0.170344662 0.21360901 0.29022507 0.55017816 1.00000000
## Q8.5.1_6 0.235123500 0.24321186 0.09340721 0.12173830 0.20314041
## Q8.5.1_7 0.189366113 0.21868120 0.09935684 0.13813620 0.15830490
## Q8.5.1_8 0.204539431 0.15858051 0.15143142 0.19743506 0.21126519
## Q8.5.1_9 0.282086878 0.14681361 0.19143054 0.15181335 0.16522835
## Q8.5.1_10 0.183778465 0.12474270 0.17686961 0.31327191 0.40150162
## Q8.5.1_11 0.215161211 0.20512890 0.09155609 0.08161977 0.14310488
## Q8.5.1_12 0.192533844 0.17720819 0.14721398 0.09902559 0.14090185
## Q8.5.1_13 0.304912894 0.30214092 0.08842027 0.16455627 0.19957038
## Q8.5.1_14 0.266655456 0.29362198 0.10845978 0.09813533 0.07206788
## Q8.5.1_15 0.175810583 0.19978385 0.19018572 0.41241128 0.47396405
## Q8.5.1_16 0.257058741 0.10644696 0.37970303 0.28400219 0.23516427
## Q8.5.1_17 0.137652020 0.15799208 0.19242580 0.42423360 0.57080506
## Q8.5.1_18 0.145994720 0.20314130 0.19384229 0.40883432 0.36135345
## Q8.5.1_19 0.225794359 0.19554659 0.10783879 0.05257307 0.07985038
## Q8.5.1_20 0.310748900 0.31811470 0.07193622 0.13336538 0.13431391
## Q8.5.1_21 0.499106964 0.30058002 0.17275719 0.14859356 0.17275082
## Q3.7_1 0.023054943 0.12140274 -0.06398517 -0.05188616 -0.01111405
## Q3.7_2 -0.030993369 -0.02428285 -0.14143843 -0.16266932 -0.21451047
## Q3.7_3 -0.066643505 -0.04896334 -0.12892350 -0.19779410 -0.21557255
## Q3.7_4 -0.005842651 -0.04811912 -0.13008103 -0.19616322 -0.25472228
## Q8.6 0.034352368 -0.05320177 0.10588830 0.18614063 0.13608940
## Q8.5.1_6 Q8.5.1_7 Q8.5.1_8 Q8.5.1_9 Q8.5.1_10
## Q8.5.1_1 0.235123500 0.18936611 0.204539431 0.282086878 0.18377847
## Q8.5.1_2 0.243211864 0.21868120 0.158580514 0.146813607 0.12474270
## Q8.5.1_3 0.093407210 0.09935684 0.151431420 0.191430544 0.17686961
## Q8.5.1_4 0.121738296 0.13813620 0.197435056 0.151813353 0.31327191
## Q8.5.1_5 0.203140413 0.15830490 0.211265191 0.165228355 0.40150162
## Q8.5.1_6 1.000000000 0.31082772 0.178684784 0.139571933 0.16395035
## Q8.5.1_7 0.310827719 1.00000000 0.126394771 0.201089021 0.15767036
## Q8.5.1_8 0.178684784 0.12639477 1.000000000 0.081178698 0.28066459
## Q8.5.1_9 0.139571933 0.20108902 0.081178698 1.000000000 0.30095434
## Q8.5.1_10 0.163950346 0.15767036 0.280664588 0.300954344 1.00000000
## Q8.5.1_11 0.360053379 0.24017544 0.124875390 0.139045287 0.15834245
## Q8.5.1_12 0.243553590 0.31328475 0.101021245 0.219340510 0.17255833
## Q8.5.1_13 0.267131454 0.34265141 0.180816914 0.165545305 0.18598773
## Q8.5.1_14 0.306700235 0.28107570 0.168227782 0.175575251 0.11885859
## Q8.5.1_15 0.171513815 0.17738030 0.162775408 0.112416014 0.35984109
## Q8.5.1_16 0.036322043 0.05733540 0.048990884 0.194813331 0.17852663
## Q8.5.1_17 0.156117198 0.12671216 0.138245456 0.101954729 0.39252246
## Q8.5.1_18 0.149847585 0.12987014 0.214956503 0.139658317 0.39650439
## Q8.5.1_19 0.339684825 0.24843310 0.112178998 0.090911535 0.15210942
## Q8.5.1_20 0.266943055 0.33100949 0.140076040 0.137796569 0.15928146
## Q8.5.1_21 0.213229919 0.29948202 0.128596580 0.289634689 0.19941722
## Q3.7_1 0.065831414 0.07050574 0.006396362 0.019383225 -0.02344645
## Q3.7_2 0.035621113 0.09510668 -0.076038874 0.042066107 -0.06396080
## Q3.7_3 -0.013235207 0.05769958 -0.053629871 -0.036443401 -0.13914861
## Q3.7_4 0.006541091 0.09508521 -0.043531152 0.009993602 -0.12987673
## Q8.6 -0.055706920 -0.09272715 0.069852557 0.032392512 0.15060269
## Q8.5.1_11 Q8.5.1_12 Q8.5.1_13 Q8.5.1_14 Q8.5.1_15
## Q8.5.1_1 0.215161211 0.192533844 0.30491289 0.266655456 0.17581058
## Q8.5.1_2 0.205128898 0.177208192 0.30214092 0.293621982 0.19978385
## Q8.5.1_3 0.091556094 0.147213981 0.08842027 0.108459785 0.19018572
## Q8.5.1_4 0.081619766 0.099025590 0.16455627 0.098135334 0.41241128
## Q8.5.1_5 0.143104878 0.140901850 0.19957038 0.072067882 0.47396405
## Q8.5.1_6 0.360053379 0.243553590 0.26713145 0.306700235 0.17151382
## Q8.5.1_7 0.240175437 0.313284746 0.34265141 0.281075701 0.17738030
## Q8.5.1_8 0.124875390 0.101021245 0.18081691 0.168227782 0.16277541
## Q8.5.1_9 0.139045287 0.219340510 0.16554531 0.175575251 0.11241601
## Q8.5.1_10 0.158342450 0.172558330 0.18598773 0.118858592 0.35984109
## Q8.5.1_11 1.000000000 0.441622376 0.28115248 0.309712021 0.25284125
## Q8.5.1_12 0.441622376 1.000000000 0.24016931 0.247007748 0.17211325
## Q8.5.1_13 0.281152485 0.240169314 1.00000000 0.325342420 0.25736895
## Q8.5.1_14 0.309712021 0.247007748 0.32534242 1.000000000 0.19040996
## Q8.5.1_15 0.252841250 0.172113252 0.25736895 0.190409957 1.00000000
## Q8.5.1_16 -0.053044118 -0.003778701 0.05774640 0.007957903 0.13009637
## Q8.5.1_17 0.159737069 0.065720210 0.19881736 0.043565636 0.49957498
## Q8.5.1_18 0.117689356 0.188687236 0.18774522 0.096272458 0.43522396
## Q8.5.1_19 0.319447381 0.202021884 0.24378474 0.276422666 0.18460511
## Q8.5.1_20 0.297401078 0.208829110 0.36731116 0.400645290 0.22103760
## Q8.5.1_21 0.214370686 0.225270919 0.32939458 0.257352276 0.27498355
## Q3.7_1 0.039314678 0.033677904 0.07162308 0.109396380 0.02080140
## Q3.7_2 -0.004774811 0.039923093 0.08107741 0.131793715 -0.05996816
## Q3.7_3 0.021496801 0.024421191 0.05078441 0.040634489 -0.15509405
## Q3.7_4 -0.031174725 0.012642707 0.06787271 0.061290259 -0.17289382
## Q8.6 -0.095594919 -0.110044696 -0.04544888 -0.051815283 0.07640910
## Q8.5.1_16 Q8.5.1_17 Q8.5.1_18 Q8.5.1_19 Q8.5.1_20
## Q8.5.1_1 0.257058741 0.13765202 0.14599472 0.22579436 0.31074890
## Q8.5.1_2 0.106446960 0.15799208 0.20314130 0.19554659 0.31811470
## Q8.5.1_3 0.379703027 0.19242580 0.19384229 0.10783879 0.07193622
## Q8.5.1_4 0.284002194 0.42423360 0.40883432 0.05257307 0.13336538
## Q8.5.1_5 0.235164273 0.57080506 0.36135345 0.07985038 0.13431391
## Q8.5.1_6 0.036322043 0.15611720 0.14984759 0.33968482 0.26694305
## Q8.5.1_7 0.057335398 0.12671216 0.12987014 0.24843310 0.33100949
## Q8.5.1_8 0.048990884 0.13824546 0.21495650 0.11217900 0.14007604
## Q8.5.1_9 0.194813331 0.10195473 0.13965832 0.09091154 0.13779657
## Q8.5.1_10 0.178526628 0.39252246 0.39650439 0.15210942 0.15928146
## Q8.5.1_11 -0.053044118 0.15973707 0.11768936 0.31944738 0.29740108
## Q8.5.1_12 -0.003778701 0.06572021 0.18868724 0.20202188 0.20882911
## Q8.5.1_13 0.057746400 0.19881736 0.18774522 0.24378474 0.36731116
## Q8.5.1_14 0.007957903 0.04356564 0.09627246 0.27642267 0.40064529
## Q8.5.1_15 0.130096373 0.49957498 0.43522396 0.18460511 0.22103760
## Q8.5.1_16 1.000000000 0.24651815 0.18159159 0.03778577 0.05978539
## Q8.5.1_17 0.246518146 1.00000000 0.45152200 0.13231306 0.13512476
## Q8.5.1_18 0.181591586 0.45152200 1.00000000 0.18601556 0.17063170
## Q8.5.1_19 0.037785772 0.13231306 0.18601556 1.00000000 0.27865184
## Q8.5.1_20 0.059785385 0.13512476 0.17063170 0.27865184 1.00000000
## Q8.5.1_21 0.236833237 0.17559599 0.18129941 0.22728680 0.51895906
## Q3.7_1 -0.055509851 0.02406959 -0.01182775 0.05553669 0.07483327
## Q3.7_2 -0.129053489 -0.14224931 -0.10850914 0.06259418 0.01817717
## Q3.7_3 -0.125653242 -0.11602179 -0.12684000 0.01204163 -0.03704643
## Q3.7_4 -0.150200506 -0.14668095 -0.15521208 0.01196826 -0.03880961
## Q8.6 0.198953911 0.18751779 0.19184230 -0.07299324 -0.06160385
## Q8.5.1_21 Q3.7_1 Q3.7_2 Q3.7_3 Q3.7_4
## Q8.5.1_1 0.499106964 0.023054943 -0.030993369 -0.06664351 -0.005842651
## Q8.5.1_2 0.300580022 0.121402741 -0.024282850 -0.04896334 -0.048119120
## Q8.5.1_3 0.172757189 -0.063985168 -0.141438426 -0.12892350 -0.130081029
## Q8.5.1_4 0.148593558 -0.051886159 -0.162669319 -0.19779410 -0.196163218
## Q8.5.1_5 0.172750822 -0.011114053 -0.214510467 -0.21557255 -0.254722277
## Q8.5.1_6 0.213229919 0.065831414 0.035621113 -0.01323521 0.006541091
## Q8.5.1_7 0.299482018 0.070505742 0.095106676 0.05769958 0.095085209
## Q8.5.1_8 0.128596580 0.006396362 -0.076038874 -0.05362987 -0.043531152
## Q8.5.1_9 0.289634689 0.019383225 0.042066107 -0.03644340 0.009993602
## Q8.5.1_10 0.199417222 -0.023446447 -0.063960803 -0.13914861 -0.129876727
## Q8.5.1_11 0.214370686 0.039314678 -0.004774811 0.02149680 -0.031174725
## Q8.5.1_12 0.225270919 0.033677904 0.039923093 0.02442119 0.012642707
## Q8.5.1_13 0.329394577 0.071623079 0.081077412 0.05078441 0.067872715
## Q8.5.1_14 0.257352276 0.109396380 0.131793715 0.04063449 0.061290259
## Q8.5.1_15 0.274983548 0.020801405 -0.059968164 -0.15509405 -0.172893820
## Q8.5.1_16 0.236833237 -0.055509851 -0.129053489 -0.12565324 -0.150200506
## Q8.5.1_17 0.175595989 0.024069592 -0.142249311 -0.11602179 -0.146680948
## Q8.5.1_18 0.181299411 -0.011827749 -0.108509140 -0.12684000 -0.155212082
## Q8.5.1_19 0.227286797 0.055536686 0.062594177 0.01204163 0.011968258
## Q8.5.1_20 0.518959057 0.074833270 0.018177167 -0.03704643 -0.038809608
## Q8.5.1_21 1.000000000 -0.029351177 -0.040960641 -0.14608650 -0.077807815
## Q3.7_1 -0.029351177 1.000000000 0.455001881 0.33310011 0.326974357
## Q3.7_2 -0.040960641 0.455001881 1.000000000 0.52058398 0.525549851
## Q3.7_3 -0.146086499 0.333100109 0.520583979 1.00000000 0.598948400
## Q3.7_4 -0.077807815 0.326974357 0.525549851 0.59894840 1.000000000
## Q8.6 0.006327924 -0.007950407 -0.115634674 -0.10886609 -0.080566009
## Q8.6
## Q8.5.1_1 0.034352368
## Q8.5.1_2 -0.053201774
## Q8.5.1_3 0.105888301
## Q8.5.1_4 0.186140626
## Q8.5.1_5 0.136089395
## Q8.5.1_6 -0.055706920
## Q8.5.1_7 -0.092727153
## Q8.5.1_8 0.069852557
## Q8.5.1_9 0.032392512
## Q8.5.1_10 0.150602687
## Q8.5.1_11 -0.095594919
## Q8.5.1_12 -0.110044696
## Q8.5.1_13 -0.045448884
## Q8.5.1_14 -0.051815283
## Q8.5.1_15 0.076409097
## Q8.5.1_16 0.198953911
## Q8.5.1_17 0.187517790
## Q8.5.1_18 0.191842296
## Q8.5.1_19 -0.072993239
## Q8.5.1_20 -0.061603853
## Q8.5.1_21 0.006327924
## Q3.7_1 -0.007950407
## Q3.7_2 -0.115634674
## Q3.7_3 -0.108866086
## Q3.7_4 -0.080566009
## Q8.6 1.000000000
## X1 X2 value
## 1 Q8.5.1_1 Q8.5.1_1 1.0000000
## 2 Q8.5.1_2 Q8.5.1_1 0.5009727
## 3 Q8.5.1_3 Q8.5.1_1 0.1950885
## 4 Q8.5.1_4 Q8.5.1_1 0.1752346
## 5 Q8.5.1_5 Q8.5.1_1 0.1703447
## 6 Q8.5.1_6 Q8.5.1_1 0.2351235
Basic correlations between increases and decreases of COVID items
LEEP_num_Eammon<-LEEP_num
LEEP_num_Eammon<-LEEP_num_Eammon %>%
select( starts_with("Q8.5")
)
mtcars_new <- LEEP_num_Eammon
corrmat_pearson <- cor(mtcars_new)
corrmat_pearson
## Q8.5.1_1 Q8.5.1_2 Q8.5.1_3 Q8.5.1_4 Q8.5.1_5 Q8.5.1_6
## Q8.5.1_1 1.0000000 0.5009727 0.19508852 0.17523456 0.17034466 0.23512350
## Q8.5.1_2 0.5009727 1.0000000 0.14507855 0.15909213 0.21360901 0.24321186
## Q8.5.1_3 0.1950885 0.1450786 1.00000000 0.35353344 0.29022507 0.09340721
## Q8.5.1_4 0.1752346 0.1590921 0.35353344 1.00000000 0.55017816 0.12173830
## Q8.5.1_5 0.1703447 0.2136090 0.29022507 0.55017816 1.00000000 0.20314041
## Q8.5.1_6 0.2351235 0.2432119 0.09340721 0.12173830 0.20314041 1.00000000
## Q8.5.1_7 0.1893661 0.2186812 0.09935684 0.13813620 0.15830490 0.31082772
## Q8.5.1_8 0.2045394 0.1585805 0.15143142 0.19743506 0.21126519 0.17868478
## Q8.5.1_9 0.2820869 0.1468136 0.19143054 0.15181335 0.16522835 0.13957193
## Q8.5.1_10 0.1837785 0.1247427 0.17686961 0.31327191 0.40150162 0.16395035
## Q8.5.1_11 0.2151612 0.2051289 0.09155609 0.08161977 0.14310488 0.36005338
## Q8.5.1_12 0.1925338 0.1772082 0.14721398 0.09902559 0.14090185 0.24355359
## Q8.5.1_13 0.3049129 0.3021409 0.08842027 0.16455627 0.19957038 0.26713145
## Q8.5.1_14 0.2666555 0.2936220 0.10845978 0.09813533 0.07206788 0.30670023
## Q8.5.1_15 0.1758106 0.1997838 0.19018572 0.41241128 0.47396405 0.17151382
## Q8.5.1_16 0.2570587 0.1064470 0.37970303 0.28400219 0.23516427 0.03632204
## Q8.5.1_17 0.1376520 0.1579921 0.19242580 0.42423360 0.57080506 0.15611720
## Q8.5.1_18 0.1459947 0.2031413 0.19384229 0.40883432 0.36135345 0.14984759
## Q8.5.1_19 0.2257944 0.1955466 0.10783879 0.05257307 0.07985038 0.33968482
## Q8.5.1_20 0.3107489 0.3181147 0.07193622 0.13336538 0.13431391 0.26694305
## Q8.5.1_21 0.4991070 0.3005800 0.17275719 0.14859356 0.17275082 0.21322992
## Q8.5.1_7 Q8.5.1_8 Q8.5.1_9 Q8.5.1_10 Q8.5.1_11 Q8.5.1_12
## Q8.5.1_1 0.18936611 0.20453943 0.28208688 0.1837785 0.21516121 0.192533844
## Q8.5.1_2 0.21868120 0.15858051 0.14681361 0.1247427 0.20512890 0.177208192
## Q8.5.1_3 0.09935684 0.15143142 0.19143054 0.1768696 0.09155609 0.147213981
## Q8.5.1_4 0.13813620 0.19743506 0.15181335 0.3132719 0.08161977 0.099025590
## Q8.5.1_5 0.15830490 0.21126519 0.16522835 0.4015016 0.14310488 0.140901850
## Q8.5.1_6 0.31082772 0.17868478 0.13957193 0.1639503 0.36005338 0.243553590
## Q8.5.1_7 1.00000000 0.12639477 0.20108902 0.1576704 0.24017544 0.313284746
## Q8.5.1_8 0.12639477 1.00000000 0.08117870 0.2806646 0.12487539 0.101021245
## Q8.5.1_9 0.20108902 0.08117870 1.00000000 0.3009543 0.13904529 0.219340510
## Q8.5.1_10 0.15767036 0.28066459 0.30095434 1.0000000 0.15834245 0.172558330
## Q8.5.1_11 0.24017544 0.12487539 0.13904529 0.1583424 1.00000000 0.441622376
## Q8.5.1_12 0.31328475 0.10102124 0.21934051 0.1725583 0.44162238 1.000000000
## Q8.5.1_13 0.34265141 0.18081691 0.16554531 0.1859877 0.28115248 0.240169314
## Q8.5.1_14 0.28107570 0.16822778 0.17557525 0.1188586 0.30971202 0.247007748
## Q8.5.1_15 0.17738030 0.16277541 0.11241601 0.3598411 0.25284125 0.172113252
## Q8.5.1_16 0.05733540 0.04899088 0.19481333 0.1785266 -0.05304412 -0.003778701
## Q8.5.1_17 0.12671216 0.13824546 0.10195473 0.3925225 0.15973707 0.065720210
## Q8.5.1_18 0.12987014 0.21495650 0.13965832 0.3965044 0.11768936 0.188687236
## Q8.5.1_19 0.24843310 0.11217900 0.09091154 0.1521094 0.31944738 0.202021884
## Q8.5.1_20 0.33100949 0.14007604 0.13779657 0.1592815 0.29740108 0.208829110
## Q8.5.1_21 0.29948202 0.12859658 0.28963469 0.1994172 0.21437069 0.225270919
## Q8.5.1_13 Q8.5.1_14 Q8.5.1_15 Q8.5.1_16 Q8.5.1_17 Q8.5.1_18
## Q8.5.1_1 0.30491289 0.266655456 0.1758106 0.257058741 0.13765202 0.14599472
## Q8.5.1_2 0.30214092 0.293621982 0.1997838 0.106446960 0.15799208 0.20314130
## Q8.5.1_3 0.08842027 0.108459785 0.1901857 0.379703027 0.19242580 0.19384229
## Q8.5.1_4 0.16455627 0.098135334 0.4124113 0.284002194 0.42423360 0.40883432
## Q8.5.1_5 0.19957038 0.072067882 0.4739640 0.235164273 0.57080506 0.36135345
## Q8.5.1_6 0.26713145 0.306700235 0.1715138 0.036322043 0.15611720 0.14984759
## Q8.5.1_7 0.34265141 0.281075701 0.1773803 0.057335398 0.12671216 0.12987014
## Q8.5.1_8 0.18081691 0.168227782 0.1627754 0.048990884 0.13824546 0.21495650
## Q8.5.1_9 0.16554531 0.175575251 0.1124160 0.194813331 0.10195473 0.13965832
## Q8.5.1_10 0.18598773 0.118858592 0.3598411 0.178526628 0.39252246 0.39650439
## Q8.5.1_11 0.28115248 0.309712021 0.2528412 -0.053044118 0.15973707 0.11768936
## Q8.5.1_12 0.24016931 0.247007748 0.1721133 -0.003778701 0.06572021 0.18868724
## Q8.5.1_13 1.00000000 0.325342420 0.2573689 0.057746400 0.19881736 0.18774522
## Q8.5.1_14 0.32534242 1.000000000 0.1904100 0.007957903 0.04356564 0.09627246
## Q8.5.1_15 0.25736895 0.190409957 1.0000000 0.130096373 0.49957498 0.43522396
## Q8.5.1_16 0.05774640 0.007957903 0.1300964 1.000000000 0.24651815 0.18159159
## Q8.5.1_17 0.19881736 0.043565636 0.4995750 0.246518146 1.00000000 0.45152200
## Q8.5.1_18 0.18774522 0.096272458 0.4352240 0.181591586 0.45152200 1.00000000
## Q8.5.1_19 0.24378474 0.276422666 0.1846051 0.037785772 0.13231306 0.18601556
## Q8.5.1_20 0.36731116 0.400645290 0.2210376 0.059785385 0.13512476 0.17063170
## Q8.5.1_21 0.32939458 0.257352276 0.2749835 0.236833237 0.17559599 0.18129941
## Q8.5.1_19 Q8.5.1_20 Q8.5.1_21
## Q8.5.1_1 0.22579436 0.31074890 0.4991070
## Q8.5.1_2 0.19554659 0.31811470 0.3005800
## Q8.5.1_3 0.10783879 0.07193622 0.1727572
## Q8.5.1_4 0.05257307 0.13336538 0.1485936
## Q8.5.1_5 0.07985038 0.13431391 0.1727508
## Q8.5.1_6 0.33968482 0.26694305 0.2132299
## Q8.5.1_7 0.24843310 0.33100949 0.2994820
## Q8.5.1_8 0.11217900 0.14007604 0.1285966
## Q8.5.1_9 0.09091154 0.13779657 0.2896347
## Q8.5.1_10 0.15210942 0.15928146 0.1994172
## Q8.5.1_11 0.31944738 0.29740108 0.2143707
## Q8.5.1_12 0.20202188 0.20882911 0.2252709
## Q8.5.1_13 0.24378474 0.36731116 0.3293946
## Q8.5.1_14 0.27642267 0.40064529 0.2573523
## Q8.5.1_15 0.18460511 0.22103760 0.2749835
## Q8.5.1_16 0.03778577 0.05978539 0.2368332
## Q8.5.1_17 0.13231306 0.13512476 0.1755960
## Q8.5.1_18 0.18601556 0.17063170 0.1812994
## Q8.5.1_19 1.00000000 0.27865184 0.2272868
## Q8.5.1_20 0.27865184 1.00000000 0.5189591
## Q8.5.1_21 0.22728680 0.51895906 1.0000000
library(reshape)
melted_corrmat_pearson <- melt(corrmat_pearson)
head(melted_corrmat_pearson)
## X1 X2 value
## 1 Q8.5.1_1 Q8.5.1_1 1.0000000
## 2 Q8.5.1_2 Q8.5.1_1 0.5009727
## 3 Q8.5.1_3 Q8.5.1_1 0.1950885
## 4 Q8.5.1_4 Q8.5.1_1 0.1752346
## 5 Q8.5.1_5 Q8.5.1_1 0.1703447
## 6 Q8.5.1_6 Q8.5.1_1 0.2351235
ggplot(melted_corrmat_pearson, aes(x = X1, y = X2, fill = value)) +
geom_tile() +
labs(x = 'Variables', y = 'Variables') +
coord_fixed()+ theme(axis.text.x=element_text(angle=90,hjust=1.0))+ggtitle("Basic correlations between increases and decreases of COVID items ")
corrplot(corrmat_pearson, method = "pie")
