Plotting t-statistic in R

How can I plot the t-statistic of the results shown below in R?

You can access the t statistic through the statistic element of the object returned by the t.test function. Is that what you want to do?

``````x <- rnorm(434, 207, 50)

FIT <- t.test(x, mu = 208.5)
FIT
#>
#>  One Sample t-test
#>
#> data:  x
#> t = -2.9546, df = 433, p-value = 0.003301
#> alternative hypothesis: true mean is not equal to 208.5
#> 95 percent confidence interval:
#>  197.1966 206.2275
#> sample estimates:
#> mean of x
#>   201.712

FIT\$statistic
#>         t
#> -2.954601
``````

Created on 2019-11-25 by the reprex package (v0.3.0.9000)

Hi, and welcome!

A reproducible example, called a reprex will attract more answers. @FJCC provides an example. Screen shots are no substitute.

In this case, you need to go beyond just the default print of `t.test` and explain what type of plot you're looking to produce. A single point, the test statistic, isn't very informative, although it's certainly possible to plot a point on the x or y axes with its value.

There is a plot method for the two-sample t test. See the examples in the help page:

``````require(graphics)

## Classical example: Student's sleep data
plot(extra ~ group, data = sleep)
``````

Created on 2019-11-25 by the reprex package (v0.3.0)

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