R implementation of the SPSS `T-TEST`

function.

1 2 3 |

`x` |
a (non-empty) data.frame or input data of class |

`variables` |
atomic character or character vector with the names of the variables. |

`t_test` |
atomic character definies the type of t-test. Default is |

`testval` |
atomic numeric which indicates the value of mean difference. |

`criteria` |
atomic numeric which specifies the confidence interval for the mean differences. Default
is |

`groupvar` |
atomic character with the name of the variable which shall be used for grouping. |

`groups` |
factor variable which specify the variables grouped for an independentsample t-test. |

`withvars` |
atomic characters or character vector with the name of the paired variables which shall be used for compare the means. Optionally
the argument |

`paired` |
logical. Indicating whether the comparison should be pair based or not. |

`missing` |
atomic character determines the method which indicates what should happen when the data contains NAs. Default is analysis.
Optionally |

Performs a Student's T-Test. The `xpssTtest`

compares the mean by calculating Students-t of the selected distributions.

It is possible to check the samples.

against a specific value (one-sample) ->

`testval`

in difference of groups (independent-sample)->

`groups`

in difference of variables (paired-sample) ->

`pairs`

Simple statistics will be printed with every t-test.
At the one-sample test, the mean difference will be visualized with the statistics

At the independend-sample test, the mean differnce and ANOVA will be visualized with the statistics

At the paired-sample test, the mean diference and a correlation statistic will be visualizied with the statistics

returns a list depending upon the t-test.

All t-test contain:

`statistics` | simple statistics. | |

`parameter` | degrees of freedom. | |

`p.value` | significance level. | |

`conf.int` | confidence bound. | |

`null.value` | value of null hypothesis. | |

`alternative` | value of alternative hypothesis. | |

`method` | character string with the name of the t-test. | |

`data.name` | name of the data. |

The independent t-test includes additonally:

`anova` | anova of the groups. |

The paired t-test includes additonally:

`corr` | correlation of the pairs. |

Bastian Wiessner

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 | ```
data(fromXPSS)
xpssTtest(fromXPSS,
variables = "V7_2",
t_test = "testval",
testval= 50,
criteria = 0.65)
xpssTtest(fromXPSS,
t_test = "pairs",
variables=c("V5",
"V6",
"V7_1",
"V7_2"),
paired = FALSE,
missing = "analysis",
criteria = 0.85)
xpssTtest(fromXPSS,
variables = "V7_2",
t_test = "groups",
groupvar = "V3",
groups = c(1, 2),
missing = "analysis",
criteria = 0.99)
``` |

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