Hierarchical clustering is a method of agglomeration.
If you scale the variables first, the principal components are equal to the appropriate singular values.
Data can't always communicate a narrative as well as a picture.
Following the partitioning strategy is K-means clustering.
Other well-known annotation functions include points and axes.
You should pick a distance or similarity that makes sense in relation to your issue.
Exploratory graphs are created in large numbers.
On a Mac, you cannot use the window function.
R passes the data necessary for the plot over when the plot() function is used, and the graphics card creates the plot.
Line width is specified by lwd.
If the same data is saved on several storage devices, data replication is necessary.
Reproducibility is about making the data analysis process transparent and repeatable, Reproducibility in the context of data analysis and research means that the results and findings of a study can be independently verified by others using the same data and methods. When data analysis is reproducible, it enables other researchers or analysts to follow the same procedures and arrive at similar or identical results, validating the original findings.
Depending on the distance, some elements may be near together while others may be farther apart.
Plots are also built with a single purpose in mind.
Grid on will show the main grid lines.
The win.metafile can be used to export graphics to a Windows MetaFile.
