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Descriptive_Statistics.R
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Descriptive_Statistics.R
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### Descriptive statistics in the main text.
# Daily practice
chisq.test(networkcapital$Gender,
networkcapital$DailyRegularscore2)
chisq.test(networkcapital$Age_cohort,
networkcapital$DailyRegularscore2)
chisq.test(networkcapital$Rank1,
networkcapital$DailyRegularscore2)
# Pilgrimage score
wilcox.test(Fiveyearscore ~ Gender,
data = networkcapital )
kruskal.test( Fiveyearscore ~ Age_cohort,
data = networkcapital)
kruskal.test( Fiveyearscore ~ Rank1,
data = networkcapital)
cor.test(networkcapital$Fiveyearscore,
networkcapital %>%
mutate(Rank1 = case_when(Rank1 == "H" ~ 3,
Rank1 == "M" ~ 2,
Rank1 == "L" ~ 1,) ) %$% Rank1,
method = "spearman")
### Table S3
Daily_score %>%
select(2:4,6,8,10,12,22,24,26,28) %>%
tableone::CreateTableOne(var = colnames(.)[c(1,3:7)] ,
strata = c("Gender"),
factorVars = c("LocalPilgrimageRegOrUnreg",
"Kowtow",
"TurnBeads",
"BurningLastMonth",
"FastingLY",
"PerambulationLY"),data = .)
### Table S4
### Table S5
# Full network Summary
socialsupport_network <- igraph::graph.data.frame(
d= Edgelist_socialsupport,
vertices = networkcapital,
directed = T) %>%
intergraph::asNetwork()
network.size(socialsupport_network)
network.edgecount(socialsupport_network)
intergraph::asIgraph(socialsupport_network) %>%
degree(.,mode = "all") %>%
mean(.)
intergraph::asIgraph(socialsupport_network) %>%
degree(.,mode = "in") %>%
mean(.)
intergraph::asIgraph(socialsupport_network) %>%
edge_density()
intergraph::asIgraph(socialsupport_network) %>%
reciprocity(.)
intergraph::asIgraph(socialsupport_network) %>%
transitivity(., type="global")
intergraph::asIgraph(socialsupport_network) %>%
diameter(.)
# Separated networks Summary
Emotionally_support_network <- get.inducedSubgraph(socialsupport_network,
eid = which( socialsupport_network %e%
"Support" =="Emotionally"))
Financially_support_network <- get.inducedSubgraph(socialsupport_network,
eid = which( socialsupport_network %e%
"Support" =="Financially"))
Guaranty_support_network <- get.inducedSubgraph(socialsupport_network,
eid = which( socialsupport_network %e%
"Support" =="Guaranty"))
Physically_support_network <- get.inducedSubgraph(socialsupport_network,
eid = which( socialsupport_network %e%
"Support" =="Physically"))
Suggestion_support_network <- get.inducedSubgraph(socialsupport_network,
eid = which( socialsupport_network %e%
"Support" =="Suggestion"))
Separate_network <- list( Emotionally_support_network,
Physically_support_network,
Suggestion_support_network,
Financially_support_network,
Guaranty_support_network)
map(Separate_network,~ network.size(.))
map(Separate_network,~ network.edgecount(.))
map(Separate_network,~ intergraph::asIgraph(.) %>%
degree(.,mode = "all") %>%
mean(.))
map(Separate_network,~ intergraph::asIgraph(.) %>%
degree(.,mode = "in") %>%
mean(.))
map(Separate_network,~ intergraph::asIgraph(.)) %>%
map(., ~ ecount(.)/(vcount(.)*(vcount(.)-1)))
map(Separate_network,~ intergraph::asIgraph(.) %>%
reciprocity(.))
map(Separate_network,~ intergraph::asIgraph(.) %>%
transitivity(., type="global"))
map(Separate_network,~ intergraph::asIgraph(.) %>%
diameter(.))