Description Usage Arguments Details Value See Also Examples
Calculation and visualization of the differences in degree sexual dimorphism between two populations using summary statistics as input.
1 2 3 4 5 6 7 8 9 10 11 12 |
x |
A data frame containing summary statistics. |
Pop |
Number of the column containing populations' names, Default: 1 |
es |
Type of effect size either "d" for Cohen's d,"g" for Hedge's g or "none" , Default:"none". |
plot |
Logical; if TRUE graphical matrix of p values, Default: FALSE |
... |
additional arguments that can be passed to [corrplot][corrplot::corrplot] function. |
alternative |
a character string specifying the alternative hypothesis, must be one of "two.sided", "greater" or "less". |
padjust |
Method of p.value adjustment for multiple comparisons following p.adjust.methods Default: "none". |
letters |
Logical; if TRUE returns letters for pairwise comparisons where significantly different populations are given different letters, Default: FALSE' |
digits |
Number of significant digits, Default: 4 |
CI |
confidence interval coverage takes value from 0 to 1, Default: 0.95. |
The input is a data frame of summary statistics where the column containing population names is chosen by position (first by default), other columns of summary data should have specific names (case sensitive) similar to baboon.parms_df
data frame of t.test results
[multcompView::multcompLetters()] [corrplot::corrplot()]
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | # Comparisons of femur head diameter in four populations
library(TestDimorph)
df <- data.frame(
Pop = c("Turkish", "Bulgarian", "Greek", "Portuguese "),
m = c(150.00, 82.00, 36.00, 34.00),
f = c(150.00, 58.00, 34.00, 24.00),
M.mu = c(49.39, 48.33, 46.99, 45.20),
F.mu = c(42.91, 42.89, 42.44, 40.90),
M.sdev = c(3.01, 2.53, 2.47, 2.00),
F.sdev = c(2.90, 2.84, 2.26, 2.90)
)
t_greene(
df,
plot = TRUE,
method = "ellipse",
padjust = "none",
type = "lower",
col = c(
"#AEB6E5",
"#B1A0DB",
"#B788CD",
"#BC6EB9",
"#BC569E",
"#B6407D",
"#A93154"
),
tl.cex = 0.8,
tl.col = "black",
insig =
"label_sig",
tl.srt = 0.1,
pch.cex = 2.5,
tl.pos = "ld",
win.asp = 1,
number.cex = 0.5,
na.label = "NA"
)
|
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