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For example, put in front of a line in your transform that only applies to data set B. To do this, precede the lines that apply to only some data sets with column designators. But you can write a transform to apply different transforms to different data sets. Usually, the same function is applied to all data sets. Below that Prism will place the results for column B. The results for column A will appear on top of the results table. If the data table contains several data sets (so has several Y values for a single X value), Prism will stagger the results down the page, repeating X values as needed. If you are transforming X values, you may use Y in the function. In Prism, sqr() squares the value, and the sqrt() function takes the square root.

Beware of the sqr() function, which has different meanings in different environments. When writing your transform, you may use any of these functions when writing your equation. However, this is not done via a transform, but rather via a separate analysis. Prism can also create Bland-Altman plots, which require a simple transform of the data.

Log10(X) if you entered your data as concentration. No change if you entered your data as log(conc.). Here is the mathematical definition of each transform: You'll get better results by using nonlinear regression on the actual data. Use these transforms only as a way to display data, not as a first step in analyzing data. Scatchard transforms are used to display radioligand binding, and Hill plots are used to plot dose-response data. Transforms for pharmacology and biochemistryĮadie-Hofstee, Hanes-Woolf, and Lineweaver-Burk transforms are used to plot enzyme-kinetic results. The resulting 95% CI will be asymmetrical. Or you may convert the error bars to 95% confidence intervals, and then transform both ends of the confidence interval. You may either transform the mean only or erase the error bars. logarithms), it is mathematically impossible to transform a SD and end up with a SD. When a transform is intrinsically asymmetrical (i. If you entered data as mean, SD (or SEM), and N, Prism tries to transform the error bar as well as the mean. If you entered replicate Y values, Prism can transform each replicate or the mean of the replicates. This means that the X transform is applied to data that were originally in the Y column, and the Y transform is applied to data originally in the X column.

If you selected X or Y transforms (in addition to interchanging), Prism applies the transform to the data after interchanging X and Y.

Information about the scatter of Y is ignored.

If you entered replicate Y values (or mean with SD or SEM) Prism interchanges X and Y by putting the mean Y value into the X column.

The results will be staggered down the page with only one data set in any particular row. It does this by creating additional rows.

Prism can interchange data on tables with more than one data set (more than one Y column), even though the results sheet has only a single X column.

When you choose a standard function, you can choose to interchange X and Y values and also choose transforms of X or Y or both. No, it doesn't really make sense, but this was once a common standard. Prism uses an older definition of probit that adds 5 to all results, to avoid use of negative numbers. Rather than entering the value of K, you can hook an analysis or info constant. To enter different K values for each data set, choose a data set, enter K, choose another data set, enter its K, and so on. When transforming Y values, you can enter one value of K for all data sets or a separate value of K for each data set. Many of the functions include the variable “K”.