1 / 4

Independent Analysis Project

Independent Analysis Project. Data Screening - Due April 22 ( 5 points). Instructions: Submit one file by email to khyrenba@gmail.com A ppt file with your name as suffix (e.g., MARS6300_DataScreening_KDH.ppt) containing PC-ORD output text and figures.

brianrivera
Download Presentation

Independent Analysis Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Independent Analysis Project • Data Screening - Due April 22 ( 5 points) Instructions: Submit one file by email to khyrenba@gmail.com A ppt file with your name as suffix (e.g., MARS6300_DataScreening_KDH.ppt) containing PC-ORD output text and figures

  2. Screening #1 – Data Summary (2 points) Provide a summary of the data sets you will use in your project, making sure you explicitly discuss: • How many species / variables selected for analysis ? • What criteria did you use to make this selection ? • How many environmental variables used ? Are they Q / C ? • Summarize environmental variables (skewness) (use PC ORD) • Summarize species data (skewness) (use PC ORD) • Perform outlier analysis for species / samples (use PC ORD) • Summarize sums / ranges for species / variables (use PC ORD) • Summarize “zero” data; “empty” species / samples (use PC ORD) • Report species dominance (plot / table) – if you have species data

  3. Screening #2 – Data Transformations (2 points) Provide a summary of the data transformations you will do, making sure you explicitly explain: • Which transformations you propose to do and why . Hint: use PC-ORD to identify outliers and to summarize descriptive statistics? • Changes in Environmental variable skewness after transformation • Changes in Species data skewness after transformation • Perform outlier analysis again for species and samples after transformations, to see if they solved problems identified above

  4. Screening #3 – Cross-Correlations (1 point) Provide a summary of the data cross-correlations, making sure you report the following: • Cross-correlations of environmental variables (r and p values) • Plot scatterplots of environmental variables (use PC-ORD) • Brief narrative explaining what these cross-correlations show

More Related