Data sets that have been discussed in class or are used in homework are:

• Fishoil.txt Data file for HW 1
• Tomato.txt Tomato data file for SAS intro workshop.
• Insect.txt Insect data file for SAS intro workshop.
• Insect.xls Excel worksheet version of insect data set.
• Salinity.txt Data file for barley salinity study. Used to illustrate variance component calculations
• cotton.txt Data on contamination in seed lots for HW 5. Columns are lot sample contamination.
• hydroxy.txt Updated data on hydroxy value of two alcohols, nonylphenol and dodecanol, from an interlaboratory study. Columns are the compound, lab, the day and the measurement. There are two measurements per day, two days per lab, and 10 labs per compound. Labs are now numbered 1 to 20.
• porosity.txt Porosity data from HW 5. Columns are field id, section id, porosity value.
• poro2.txt Corrected porosity data for HW 5. Columns are field id, section id, porosity value.
• blockex.txt Data for blockex.sas. Example from Mead, section 5.3, arranged for a paired t-test, i.e. one row per block (= per pair of e.u.'s)
• brome.txt Data for example of analysis of a Latin Square. The row blocking variable is proximity to freeway; the column blocking variability is proximity to a stream. Columns in the data file are the row, column, treatment, and a measure of the abundance of the rare species.
• brome2.txt Data for illustration of multiple latin squares. Made up data based on brome grass study, 3 squares, each 4x4.
• range.txt Response of blue grama grass to rangeland fertilization for HW 6. Variables are the treatment, the block number, the response: plant phosphate concentration, and a treatment code (a - e) that you can ignore or use instead of the treatment name.
• millet.txt Millet row spacing study using a latin square design for HW 6. Columns are the row, column, treatment (spacing), and yield (response).
• Food.txt Data file for food palatibility study. First column is name of the protein supplement (c, l, s). Second column is a preference score (-3 to 3) where 3 = most palatible.
• yogurt.txt Yogurt data for Midterm I. Columns are the treatment (C or L), the batch number, the container number, and the K concentration.
• yogurt2.txt Second yogurt data file for the midterm. Columns are the container number, extract number, measurement number, and the K concentration.
• grass.txt Grass study for midterm I. Columns are the county number, the treatment name, and the % success of bird nests on that field.
• Food2.txt Data file for entire food palatability study. First column is the treatment code (1 through 6), second column is the sex of the participant, third colume is the type of the protein supplement (c, l, s). Last column is a preference score (-3 to 3) where 3 = most palatable.
• multblock.txt Data for example of multiplicative block effects.
• millet2.txt Millet row spacing study using two 5 x 5 latin square design for HW 7. Columns are the square, row, column, treatment (spacing), and yield (response).
• plankton.txt Data for plankton abundance problem on HW 7. Columns are tow (i.e. the block), species, and abundance.
• carrot.txt Carrot experiment to look at effects of seed stock and sowing rate on yield using two way factorial treatment structure in an RCBD. Columns are treatment number, stock, rate, block, and yield.
• ratwt.txt Weight gain in rats fed diets with different protein levels and types. Design is a CRD. Columns are treatment #, level, type, and weight gain (in gm).
• range2.txt Same data as range.txt, but labeled for use in a 2 way ANOVA. Variables are Nrate (3 levels: 0, 50 and 100) and P (- or +), block # and PO4 measurement.
• hyp.txt "Botched" study for HW 9. Study was designed as an RCBD with 10 blocks and 2 treatments, but many values are missing. Three columns: block, treatment (a or p) and response.
• alpine1.txt Seedling growth in alpine tundra. Columns are the experiment (only Penn in this data set), the species names (nive or grac), the site (Dry, Med, Wet), and the log transformed weight.
• Alpine2.txt Potentilla growth at two sites. Columns are place, species, site and log transformed weight.
• alfalfacut.txt Alfalfa cutting experiment. 3 varieties, 4 dates of last cutting in fall. Used as example for a split plot study.
• ryegrass.txt Effect of manuring and ryegrass strain on pasture productivity.
• splitcornu.txt Effect of water, P, and N on corn water use efficiency.
• asparagus.txt Asparagus cutting study. Four harvesting intensities for asparagus. Plots repeatedly measured in 3 years. Used as example of repeated measures analysis.

• scab.txt Effect of fungicide on potato scab for midterm II. Variables are block, 2 treatment codes (explained in the exam text), amount, season, and disease measure.
• nyssa.txt Height growth of Nyssa species for Midterm II. Variables are block number, pool number (from 1 to 15), light level, species code, water depth, and height growth.

• serum.txt Data on serum glucose concentration over time for HW 11.
• stream.txt Data on NH4 transport distance for streams in the US for HW 12.

• camp.txt Data on cAMP, used as class example of ANCOVA for baseline data.
• heart.txt Data on effects of 2 drugs and a placebo on heart function.

• viral.txt PRRS data set for final exam. Columns are the treatment (i.e. the drug), the pig id, the time, and the reponse: lTCID50, a measure of the amount of virus in a pig.
• lentil.txt Lentil data set for final exam. Columns are the location, the weevil treatment, the fertilizer treatment, the weed treatment, and the yield of lentils.
• spi.txt Soy Protein Isolate data for final exam. Columns are the subject id, her diet, her baseline bone mineral content (BMC0) and her BMC after 24 weeks on diet (BMC24).