statsExpressions (version 0.7.0)

expr_t_onesample: Expression and dataframe for one-sample t-test

Description

Expression and dataframe for one-sample t-test

Usage

expr_t_onesample(
  data,
  x,
  type = "parametric",
  test.value = 0,
  k = 2L,
  conf.level = 0.95,
  tr = 0.1,
  bf.prior = 0.707,
  effsize.type = "g",
  nboot = 100L,
  top.text = NULL,
  output = "expression",
  ...
)

Arguments

data

A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.

x

A numeric variable from the dataframe data.

type

Type of statistic expected ("parametric" or "nonparametric" or "robust" or "bayes").Corresponding abbreviations are also accepted: "p" (for parametric), "np" (nonparametric), "r" (robust), or "bf"resp.

test.value

A number specifying the value of the null hypothesis (Default: 0).

k

Number of digits after decimal point (should be an integer) (Default: k = 2L).

conf.level

Scalar between 0 and 1. If unspecified, the defaults return 95% confidence/credible intervals (0.95).

tr

Trim level for the mean when carrying out robust tests. If you get error stating "Standard error cannot be computed because of Winsorized variance of 0 (e.g., due to ties). Try to decrease the trimming level.", try to play around with the value of tr, which is by default set to 0.1. Lowering the value might help.

bf.prior

A number between 0.5 and 2 (default 0.707), the prior width to use in calculating Bayes factors.

effsize.type

Type of effect size needed for parametric tests. The argument can be "d" (for Cohen's d) or "g" (for Hedge's g).

nboot

Number of bootstrap samples for computing confidence interval for the effect size (Default: 100).

top.text

Text to display on top of the Bayes Factor message. This is mostly relevant in the context of ggstatsplot functions.

output

If "expression", will return expression with statistical details, while "dataframe" will return a dataframe containing the results.

...

Currently ignored.

Value

Expression containing results from a one-sample test. The exact test and the effect size details contained will be dependent on the type argument.

References

For more details, see- https://indrajeetpatil.github.io/statsExpressions/articles/stats_details.html

Examples

# NOT RUN {
# for reproducibility
set.seed(123)
library(statsExpressions)

# ----------------------- parametric ---------------------------------------

expr_t_onesample(
  data = ggplot2::msleep,
  x = brainwt,
  test.value = 0.275,
  type = "parametric"
)

# ----------------------- non-parametric -----------------------------------

expr_t_onesample(
  data = ggplot2::msleep,
  x = brainwt,
  test.value = 0.275,
  type = "nonparametric"
)

# ----------------------- robust --------------------------------------------

expr_t_onesample(
  data = ggplot2::msleep,
  x = brainwt,
  test.value = 0.275,
  type = "robust"
)

# ---------------------------- Bayesian -----------------------------------

expr_t_onesample(
  data = ggplot2::msleep,
  x = brainwt,
  test.value = 0.275,
  type = "bayes",
  bf.prior = 0.8
)
# }