HTP3 | R Documentation |

The `HTP3`

data set contains 371 high-tech parts designed for consumer
products characterized by 33 tests.
These tests are performed to ensure a high quality of the production.
All these 371 parts were considered functional and have been sold.
However the part 32 showed defects in use and was
returned to the manufacturer by the customer. Therefore this part
can be considered as outlier.

```
data("HTP3")
```

A data frame with 371 rows and 33 variables V.1 - V.33, presenting some approximate collinearity issues which may cause some numerical inaccuracies.

Anonymized data from a nondisclosed manufacturer.

Archimbaud, A., Drmac, Z., Nordhausen, K., Radojcic, U. and Ruiz-Gazen, A.
(2023) Numerical Considerations and a New Implementation for Invariant
Coordinate Selection. *SIAM Journal on Mathematics of Data Science*,
**5**(1), 97–121. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1137/22M1498759")}.

```
# HTP3 data: the observation 32 is considered as an outlier
data("HTP3")
outliers <- c(32)
boxplot(HTP3)
# Outlier detection using ICS
library(ICS)
out <- ICS_outlier(HTP3, ICS_algorithm = "QR",
method = "norm_test",
test = "agostino.test", level_test = 0.05,
level_dist = 0.01, n_dist = 50)
summary(out)
plot(out)
text(outliers, out$ics_distances[outliers], outliers, pos = 2, cex = 0.9, col = 2)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.