To install R package locally, download the package, and unzip.

Issue the following command to start installation:

install.packages('/path/to/package',repos=NULL)

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The Bonferroni procedure can be used in multiple comparison to determine which means differ. Using a sample set of data below with three groups of equal size data, the ANOVA 2-way function is calculated and the results stored in **stat1**. For convenience, the standard ANOVA is also calculated and the results stored in **stat6**.

The original confidence level is set to 0.05. To obtain the corrected confidence level value, 0.05 is divided by the number of group of data, and then by 2 for 2-tail test. The new critical t-value is then determined. The means for each group is available in the **stat6** variable set (by ANOVA), while the pooled standard deviation s can be obtained from **stat1** variable set (by ANOVA 2-way).

And then for each of the combination of group, calculate its new t-value, i.e. GA-GC, GB-GC, and GA-GB respectively.

As shown above, the combination of GA-GB is less than the critical value of 2.7178, meaning that **fail to reject H_{0}** and therefore can conclude that

TI Nspire CX CAS computed the QR decomposition symbolically using Gram-Schmidt, and numerically using Householder transformations.

In R.

High-end calculators are capable to compute the LU decomposition of matrix. TI Nspire CAS and HP Prime are no exception. The calculations for them are listed below and compared with R.

HP Prime

R