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T-test

Introduction

Execute t-test, which checks differences of means of variables.

How to Access?

You can access from 'Add' (Plus) button.

How to Use?

Column Selection

- Value Column - Numeric column whose means should be calculated.
- Group Column (Optional) - Label column of 2 groups. Without this argument, one sample test, which compares mean with "True Effect Size" value, will be executed.

Parameters

- Type of Alternative Hypothesis (Optional) - The default is "two.sided". What kind of alternative hypothesis to be used. This can be
- "two.sided"
- "less"
- "greater"

- True Effect Size (Optional) - The default is 0. If it's one sample test, true value of the mean. If it's two sample test, the difference in means.
- Paired (Optional) - The default is FALSE. If it should be paired t-test, which is often used to test before values and after values are different.
- Equal Variance (Optional) - The default is FALSE. If the variances of the two groups can be considered as equal.
- Confidence Level (Optional) - The default is 0.95. The level of confidence interval.
- Subset (Optional) - A vector to specify a subset of observations to be used.
- NA Action (Optional) - The default is "na.fail". This changes the behaviour of NA data. Can be one of the following.
- "na.omit"
- "na.fail"
- "na.exclude"
- "na.pass"
- NULL

Take a look at the reference document for the 't.test' function from base R for more details on the parameters.

Last modified 1mo ago

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