se | R Documentation |

Functions to calculate standard errors of different statistics. The availability of a standard error (or statistic proportional to it) allows to apply "stud" (bootstrap t) bootstrap.

```
se_mean(z, na.rm = TRUE, ...)
se_mean_diff(z, y, na.rm = TRUE, var.equal = FALSE, ...)
se_var(z, na.rm = TRUE, ...)
se_proportion(z, na.rm = TRUE, ...)
```

`z` |
Numeric vector. |

`na.rm` |
Should missing values be removed before calculation? Default is |

`...` |
Further arguments to be passed from other methods. |

`y` |
Numeric vector. |

`var.equal` |
Should the variances be treated as being equal? Default is |

A numeric vector of length one.

```
se_mean(1:100)
```

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