# tadaa_one_sample

##### Tadaa, one-sample tests!

If `sigma`

is omitted, the function will just perform a one-sample stats::t.test,
but if `sigma`

is provided, a z-test is performed. It basically works the same way,
except that we pretend we know the population sigma and use the normal distribution
for comparison.

##### Usage

```
tadaa_one_sample(data = NULL, x, mu, sigma = NULL,
direction = "two.sided", na.rm = FALSE, conf.level = 0.95,
print = c("df", "console", "html", "markdown"))
```

##### Arguments

- data
A

`data.frame`

(optional).- x
A numeric vector or bare column name of

`data`

.- mu
The true mean (\(\mu\)) to test for.

- sigma
Population sigma. If supplied, a z-test is performed, otherwise a one-sample stats::t.test is performed.

- direction
Test direction, like

`alternative`

in t.test.- na.rm
Whether to drop

`NA`

values. Default is`FALSE`

.- conf.level
Confidence level used for power and CI, default is

`0.95`

.Print method, default

`df`

: A regular`data.frame`

. Otherwise passed to pixiedust::sprinkle_print_method for fancyness.

##### Value

A `data.frame`

by default, otherwise `dust`

object, depending on `print`

.

##### See Also

Other Tadaa-functions: `tadaa_aov`

,
`tadaa_chisq`

, `tadaa_kruskal`

,
`tadaa_levene`

, `tadaa_nom`

,
`tadaa_normtest`

, `tadaa_ord`

,
`tadaa_pairwise_gh`

,
`tadaa_pairwise_tukey`

,
`tadaa_pairwise_t`

,
`tadaa_t.test`

, `tadaa_wilcoxon`

##### Examples

```
# NOT RUN {
set.seed(42)
df <- data.frame(x = rnorm(n = 20, mean = 100, sd = 1))
tadaa_one_sample(df, x, mu = 101, sigma = 1)
# No data.frame, just a vector
tadaa_one_sample(x = rnorm(20), mu = 0)
# }
```

*Documentation reproduced from package tadaatoolbox, version 0.16.0, License: MIT + file LICENSE*