Description Usage Arguments Details Value Note Author(s) References See Also Examples
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1 | diversity_table_compare(meta_group, div_table)
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meta_group |
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div_table |
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##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (meta_group, div_table)
{
table1.df = table_group_compare(meta_group)
variable = length(unique(meta_group))
group.switch = paste("T", variable, sep = "")
switch(group.switch, T2 = {
div.names = names(div_table)
remove = c("participant", "group")
index = div.names[!div.names %in% remove]
myIndex <- length(index)
myIndex
for (i in 1:myIndex) {
div = index[i]
div_table.grp1 = subset(div_table, group == 1)
div_table.grp2 = subset(div_table, group == 2)
all_mean = round(mean(div_table[, div], na.rm = T),
digits = 2)
all_sd = round(sd(div_table[, div], na.rm = T), digits = 2)
all_mean_sd = paste("(", all_mean, " ± ", all_sd,
")", sep = "")
grp1_mean = round(mean(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_sd = round(sd(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_mean_sd = paste("(", grp1_mean, " ± ", grp1_sd,
")", sep = "")
grp2_mean = round(mean(div_table.grp2[, div], na.rm = T),
digits = 2)
grp2_sd = round(sd(div_table.grp2[, div], na.rm = T),
digits = 2)
grp2_mean_sd = paste("(", grp2_mean, " ± ", grp2_sd,
")", sep = "")
stat = summary(aov(div_table[, div] ~ div_table$group))
df = stat[[1]][[1]][[2]]
t.stat = round(stat[[1]][[4]][[1]], digits = 2)
p.value = round(stat[[1]][[5]][[1]], digits = 3)
table1.df[i, 1] = div
table1.df[i, 2] = all_mean
table1.df[i, 3] = all_sd
table1.df[i, 4] = all_mean_sd
table1.df[i, 5] = grp1_mean
table1.df[i, 6] = grp1_sd
table1.df[i, 7] = grp1_mean_sd
table1.df[i, 8] = grp2_mean
table1.df[i, 9] = grp2_sd
table1.df[i, 10] = grp2_mean_sd
table1.df[i, 11] = t.stat
table1.df[i, 12] = df
table1.df[i, 13] = p.value
}
}, T3 = {
div.names = names(div_table)
remove = c("participant", "group")
index = div.names[!div.names %in% remove]
myIndex <- length(index)
myIndex
for (i in 1:myIndex) {
div = index[i]
div_table.grp1 = subset(div_table, group == 1)
div_table.grp2 = subset(div_table, group == 2)
div_table.grp3 = subset(div_table, group == 3)
all_mean = round(mean(div_table[, div], na.rm = T),
digits = 2)
all_sd = round(sd(div_table[, div], na.rm = T), digits = 2)
all_mean_sd = paste("(", all_mean, " ± ", all_sd,
")", sep = "")
grp1_mean = round(mean(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_sd = round(sd(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_mean_sd = paste("(", grp1_mean, " ± ", grp1_sd,
")", sep = "")
grp2_mean = round(mean(div_table.grp2[, div], na.rm = T),
digits = 2)
grp2_sd = round(sd(div_table.grp3[, div], na.rm = T),
digits = 2)
grp2_mean_sd = paste("(", grp2_mean, " ± ", grp2_sd,
")", sep = "")
grp3_mean = round(mean(div_table.grp3[, div], na.rm = T),
digits = 2)
grp3_sd = round(sd(div_table.grp2[, div], na.rm = T),
digits = 2)
grp3_mean_sd = paste("(", grp3_mean, " ± ", grp3_sd,
")", sep = "")
stat = summary(aov(div_table[, div] ~ div_table$group))
df = stat[[1]][[1]][[2]]
t.stat = round(stat[[1]][[4]][[1]], digits = 2)
p.value = round(stat[[1]][[5]][[1]], digits = 3)
table1.df[i, 1] = div
table1.df[i, 2] = all_mean
table1.df[i, 3] = all_sd
table1.df[i, 4] = all_mean_sd
table1.df[i, 5] = grp1_mean
table1.df[i, 6] = grp1_sd
table1.df[i, 7] = grp1_mean_sd
table1.df[i, 8] = grp2_mean
table1.df[i, 9] = grp2_sd
table1.df[i, 10] = grp2_mean_sd
table1.df[i, 11] = grp3_mean
table1.df[i, 12] = grp3_sd
table1.df[i, 13] = grp3_mean_sd
table1.df[i, 14] = t.stat
table1.df[i, 15] = df
table1.df[i, 16] = p.value
}
}, T4 = {
div.names = names(div_table)
remove = c("participant", "group")
index = div.names[!div.names %in% remove]
myIndex <- length(index)
myIndex
for (i in 1:myIndex) {
div = index[i]
div_table.grp1 = subset(div_table, group == 1)
div_table.grp2 = subset(div_table, group == 2)
div_table.grp3 = subset(div_table, group == 3)
div_table.grp4 = subset(div_table, group == 4)
all_mean = round(mean(div_table[, div], na.rm = T),
digits = 2)
all_sd = round(sd(div_table[, div], na.rm = T), digits = 2)
all_mean_sd = paste("(", all_mean, " ± ", all_sd,
")", sep = "")
grp1_mean = round(mean(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_sd = round(sd(div_table.grp1[, div], na.rm = T),
digits = 2)
grp1_mean_sd = paste("(", grp1_mean, " ± ", grp1_sd,
")", sep = "")
grp2_mean = round(mean(div_table.grp2[, div], na.rm = T),
digits = 2)
grp2_sd = round(sd(div_table.grp2[, div], na.rm = T),
digits = 2)
grp2_mean_sd = paste("(", grp2_mean, " ± ", grp2_sd,
")", sep = "")
grp3_mean = round(mean(div_table.grp3[, div], na.rm = T),
digits = 2)
grp3_sd = round(sd(div_table.grp3[, div], na.rm = T),
digits = 2)
grp3_mean_sd = paste("(", grp3_mean, " ± ", grp3_sd,
")", sep = "")
grp4_mean = round(mean(div_table.grp4[, div], na.rm = T),
digits = 2)
grp4_sd = round(sd(div_table.grp4[, div], na.rm = T),
digits = 2)
grp4_mean_sd = paste("(", grp4_mean, " ± ", grp4_sd,
")", sep = "")
stat = summary(aov(div_table[, div] ~ div_table$group))
df = stat[[1]][[1]][[2]]
t.stat = round(stat[[1]][[4]][[1]], digits = 2)
p.value = round(stat[[1]][[5]][[1]], digits = 3)
table1.df[i, 1] = div
table1.df[i, 2] = all_mean
table1.df[i, 3] = all_sd
table1.df[i, 4] = all_mean_sd
table1.df[i, 5] = grp1_mean
table1.df[i, 6] = grp1_sd
table1.df[i, 7] = grp1_mean_sd
table1.df[i, 8] = grp2_mean
table1.df[i, 9] = grp2_sd
table1.df[i, 10] = grp2_mean_sd
table1.df[i, 11] = grp3_mean
table1.df[i, 12] = grp3_sd
table1.df[i, 13] = grp3_mean_sd
table1.df[i, 14] = grp4_mean
table1.df[i, 15] = grp4_sd
table1.df[i, 16] = grp4_mean_sd
table1.df[i, 17] = t.stat
table1.df[i, 18] = df
table1.df[i, 19] = p.value
}
}, stop("This function can't accomodate when meta_group>4!"))
return(table1.df)
}
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