Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library(TOSTER)
library(ggplot2)
library(ggdist)
## ----tostplots,echo=FALSE, message = FALSE, warning = FALSE, fig.show='hold'----
ggplot() +
geom_vline(aes(xintercept = -.5),
linetype = "dashed") +
geom_vline(aes(xintercept = .5),
linetype = "dashed") +
geom_text(aes(
y = 1,
x = -0.5,
vjust = -.9,
hjust = "middle"
),
angle = 90,
label = 'Lower Bound') +
geom_text(aes(
y = 1,
x = 0.5,
vjust = 1.5,
hjust = "middle"
),
angle = 90,
label = 'Upper Bound') +
geom_text(aes(
y = 1,
x = 0,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H0"
) +
geom_text(aes(
y = 1,
x = 1.5,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H1"
) +
geom_text(aes(
y = 1,
x = -1.5,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H1"
) +
theme_tidybayes() +
scale_y_continuous(limits = c(0,1.75)) +
scale_x_continuous(limits = c(-2,2)) +
labs(x = "", y = "",
title="Minimal Effect Test",
caption = "H1 = Alternative Hypothesis \n H0 = Null Hypothesis") +
theme(
strip.text = element_text(face = "bold", size = 10),
axis.text.y = element_blank(),
axis.ticks.y = element_blank()
)
ggplot() +
geom_vline(aes(xintercept = -.5),
linetype = "dashed") +
geom_vline(aes(xintercept = .5),
linetype = "dashed") +
geom_text(aes(
y = 1,
x = -0.5,
vjust = -.9,
hjust = "middle"
),
angle = 90,
label = 'Lower Bound') +
geom_text(aes(
y = 1,
x = 0.5,
vjust = 1.5,
hjust = "middle"
),
angle = 90,
label = 'Upper Bound') +
geom_text(aes(
y = 1,
x = 0,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H1"
) +
geom_text(aes(
y = 1,
x = 1.5,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H0"
) +
geom_text(aes(
y = 1,
x = -1.5,
vjust = 1.5,
hjust = "middle"
),
#alignment = "center",
label = "H0"
) +
theme_tidybayes() +
scale_y_continuous(limits = c(0,1.75)) +
scale_x_continuous(limits = c(-2,2)) +
labs(x = "",
y = "",
title="Equivalence Test",
caption = "H1 = Alternative Hypothesis \n H0 = Null Hypothesis") +
theme(
strip.text = element_text(face = "bold", size = 10),
axis.text.y = element_blank(),
axis.ticks.y = element_blank()
)
## -----------------------------------------------------------------------------
data('sleep')
data('iris')
## -----------------------------------------------------------------------------
head(sleep)
## -----------------------------------------------------------------------------
res1 = t_TOST(formula = extra ~ group,
data = sleep,
eqb = .5,
smd_ci = "goulet")
res1a = t_TOST(x = subset(sleep,group==1)$extra,
y = subset(sleep,group==2)$extra,
eqb = .5)
## -----------------------------------------------------------------------------
# Simple htest
res1b = simple_htest(formula = extra ~ group,
data = sleep,
mu = .5, # set equivalence bound
alternative = "e")
## -----------------------------------------------------------------------------
# t_TOST
print(res1)
# htest
print(res1b)
## ----fig.width=6, fig.height=6------------------------------------------------
plot(res1, type = "cd")
## ----fig.width=6, fig.height=6, eval=FALSE------------------------------------
# # Set to shade only the 90% and 95% CI areas
# plot(res1, type = "cd",
# ci_shades = c(.9,.95))
## ----fig.width=6, fig.height=6------------------------------------------------
plot(res1, type = "c",
ci_lines = c(.9,.95))
## ---- eval = FALSE------------------------------------------------------------
# describe(res1)
#
# describe_htest(res1b)
## -----------------------------------------------------------------------------
res2 = t_TOST(formula = extra ~ group,
data = sleep,
paired = TRUE,
eqb = .5)
res2
res2b = simple_htest(
formula = extra ~ group,
data = sleep,
paired = TRUE,
mu = .5,
alternative = "e")
res2b
## -----------------------------------------------------------------------------
res3 = t_TOST(x = iris$Sepal.Length,
y = iris$Sepal.Width,
paired = TRUE,
eqb = 1)
res3
res3a = simple_htest(
x = iris$Sepal.Length,
y = iris$Sepal.Width,
paired = TRUE,
mu = 1,
alternative = "e"
)
res3a
## -----------------------------------------------------------------------------
res_met = t_TOST(x = iris$Sepal.Length,
y = iris$Sepal.Width,
paired = TRUE,
hypothesis = "MET",
eqb = 1,
smd_ci = "goulet")
res_met
res_metb = simple_htest(x = iris$Sepal.Length,
y = iris$Sepal.Width,
paired = TRUE,
mu = 1,
alternative = "minimal.effect")
res_metb
## ---- eval = FALSE------------------------------------------------------------
# describe(res_met)
#
# describe_htest(res_metb)
## -----------------------------------------------------------------------------
res4 = t_TOST(x = iris$Sepal.Length,
hypothesis = "EQU",
eqb = c(5.5,8.5),
smd_ci = "goulet")
res4
## -----------------------------------------------------------------------------
res_tsum = tsum_TOST(
m1 = mean(iris$Sepal.Length, na.rm=TRUE),
sd1 = sd(iris$Sepal.Length, na.rm=TRUE),
n1 = length(na.omit(iris$Sepal.Length)),
hypothesis = "EQU",
eqb = c(5.5,8.5)
)
res_tsum
## ----fig.width=6, fig.height=6------------------------------------------------
plot(res_tsum)
## -----------------------------------------------------------------------------
describe(res_tsum)
## -----------------------------------------------------------------------------
power_t_TOST(n = NULL,
delta = 1,
sd = 2.5,
eqb = 2.5,
alpha = .025,
power = .95,
type = "two.sample")
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