The lilium project is almost wrapping up as I am approaching the end of my semester long internship. I am almost finished with processing my seed data. All the scans and x-rays of lilium ovules have been done. The only steps left are to finish counting and classifying the ovules. Counting is done to quantify the total number of ovules in the each lilium pod. Classifying is using the x-ray image to determine the number of fertilized ovules in each pod. Once I have the data for the total and full counts of each lilium pod, I will be able to obtain the seed set for each individual lilium philadelphicum. Then, I will analyze the relationship between variation in seed set and proximity in nearest neighboring plants. Jared showed me the FNN package in R which, like its name, will find the nearest neighbor between x and y coordinates. The knn.dist function is a handy tool that allows you to compare distances of a point and its nth neighbors. In order to further analyze the data, my first step is to conduct data management and organize the different variables into a data frame. This process is very useful for researchers that use R for data analysis and data visualization. Next week, I will have a data frame that includes the information necessary for the analysis and visualization of the lilium data.
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