Graphs can be used for any table type but often they will not look good if you use a graph for a table type it is not intended for: the titles and the legend will be messed up. It is important to choose the right type of table for your data since graphs and especially analyses are linked strictly to specific table types. If necessary, replicates can be placed in subcolumns.įollow this link for an overview of the different types of tables in Prism. Tables contain columns: each column corresponds to one individual data set. Prism stores data in projects that can contain several tables: each table contains a set of measurements from one experiment. The medical field then came up with their own set of guidelines: the SAMPL guidelines. APA (American Psychological Association) style was the first and most commonly used set of rules to report statistics. Most universities require students to follow APA format in the reporting of statistics.

group exercises on curve fitting of regular VIB Prism course.

group exercises on graphics of regular VIB Prism course.

group exercises on advanced statistics of regular VIB Prism course.

group exercises on basic statistics of regular VIB Prism course.

Pharmacology data set: effect of drug on receptor Prism project containing additional data for the graphics exercises

Third demo exercise: graphs and layouts.

Second demo exercise: advanced statistical tests.

Data set with 3 normally distributed groups Extended data set not normally distributed Data with different numbers of patients in each group Data sorted on second column (drug treatment)

First demo exercise: simple statistical tests (see slides).

In the training we perform 4 exercises together using the following data sets (you can also download them in zip format): Q&A added during the Prism and Statistics theory training

solutions of the Basic Statistics Theory training.

slides of the Basic Statistics Theory training.

slides of graphics in Prism course for ATP staff in Gasthuisberg.

slides of Prism course for ATP staff in Gasthuisberg.

2.5.8 Exercise 15d: Color data points according to row (for paired data).

2.5.7 Exercise 15c: Adding data sets to a graph.2.5.6 Exercise 15b: Changing the appearance of a plot.2.5.5 Exercise 15a: Using row titles as labels on a plot.2.4.6 Comparing groups of unranked categorical data defined by two grouping variables.2.4.5 Comparing groups defined by two grouping variables.2.4.3 Comparing three groups of measurements.2.4.2 Comparing unranked categorical data to hypothetical values (3 or more categories).2.4.1 Comparing unranked categorical data to hypothetical values (2 categories).2.1.5 Automatically generating values of a table.2.1.4 Importing a European csv file in a table.2.1.3 Importing your data from a text file in a table.

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