Help with Rstudio (Biostatistic)

timer Asked: Nov 25th, 2015

Question description

You get a new boss at USFWS who asks about indirect and total effects because some scientific literature she read indicates that age of patch (ISOL) and altitude both affect grazing by bewilderbeasts. Also, other literature suggests that isolation is greater near the tops of mountains. Reanalyze the above data using path analyses to answer the following research hypotheses:

    1. Bird abundance is affected by grazing, altitude, area, and isolation.

    2. Grazing is affected by altitude, area, distance to the nearest next patch, and isolation.

    3. Isolation increases with altitude, distance to the nearest patch, and distance to the next larger patch.

      Be sure to include assessments of direct, indirect, and total effects.

      I need help with 

  1. ASSUMPTIONS – Describe how you tested assumptions.  Note what you did in terms of further analysis (e.g., assumptions of normality and heterogeneity of variances were met so I proceeded with….).

  2. RESULTS – First, summarize in paragraph form the important results (e.g., The ANOVA showed that ducks like water [F6,23 =  11.50, p<0.004] and thus null hypothesis 1 was falsified…etc.).  You may supplement this with graphs (copied and pasted from GPLOT for example) if you like. Then, provide the SAS code you used to conduct your test. You can include the datalines if you like, but it’s not necessary.  Your code that tests assumptions should also be here.  Your abbreviated SAS or R output should come next. DON’T JUST BLOCK AND COPY EVERYTHING SAS or R GIVES YOU,  just provide the important parts that shows your assumptions being tested (gplots, probability plots, normality Shapiro-wilks test, etc.)

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