Very basic Individual Value Plot (EXPERIMENTAL)
ST_ivplot(v) ST_ivplot(v, datname) ST_ivplot(v, datname, frmtpt)
n-by-1 or 1-by-m matrix of doubles, numerical values (n>10, better n>25)
1-by-1 matrix of strings, name of the data, displayed unter the data set in the graph
1-by-1 matrix of charakter string, marker type of the values (".","o","x","*","+","s","d")
Individual value plots (IVP) are well suited for evaluating and comparing distributions of sample data. A IVP displays a point for the actual value of each observation in a group, making it easy to identify outliers and see the dispersion of the distribution. A IVP is especially recommended for small sample sizes in comparison to histograms, box-plots and QQ-plots, which need at least 20 values to be significant.
Therefore IVPs are well suited to test very small sample sizes on normal distribution when outliers or ties could be present and the Shapiro-Wilk distribution test cannot be reliably applied.
![]() | Please be advised that ST_ivplot is EXPERIMENTAL and very basic. It can just handle one data set at a time at the moment and ties (same values) are not displayed side-by-site! ST_ivplot uses Scilab's plot()-function and graphs can be adjusted with the well-known commands (e.g. xtitle, ylabel, etc). |