Analysis of variance (ANOVA) represents a common means to perform statistical tests as to whether there is a statistically significant difference among sample means. Though manual calculations are ok if you strive to understand the concept, however, larger examples quickly get tedious. Here, the long-standing open source R statistics package comes to our rescue. To show how R works for a simple ANOVA analysis the ensuing steps provide a quick intro as well a the source code for a fully working example.
A digitalization idea for shopping retailers: introducing Shop-Scan-Go Business Issue (Annoyance) You know the situation: quickly pick something up at the grocery or convenience store. The bus to town leaves in less than 7 minutes. You make the somewhat ludicrous mistake to actually think you can easily hop on the bus but ….. oh no […]
Developing and deploying applications on SAP HANA Cloud Platform is strict when it comes to adhering to the correct order of development applications. Since SAP HANA Cloud Platform relies on Eclipse for designing applications and ensuing deployments it is pivotal to know which Java Development Kit (JDK) you need to have installed on macOS. Beware, […]
