Open stephpenn1 opened 3 years ago
- Is there a dataframe that has a treatment label for each sample number and core?
data
/ cpcrw_valve_map.csv
and sr_valve_map.csv
- Do you want to visualize the concentration data over time?
I don't think we need concentration data over time, we already have some time-series graphs. I think binning them by treatment is the most straightforward way for now.
- Overall thoughts?
- The distribution comparisons are very interesting. It's good to see a similar general trend, although we'd have some differences for sample number, sample type, etc.
- I like the general layout of the second plot.
- but -- some of the patterns seem strange to me. (drought should be very low; sat should be high). Possibly because we're mixing different drought durations (30d, 90d, 150d), dry down type (FAD, CW) and sites(?).
- because we have so many data points and so much variability, I prefer plotting the actual points instead of just the mean/sd
- I'll check the NAs. Which site was this?
I'm not super familiar with the different levels of data.. this is actually all of it together by treatment...oops
Comparison of the distribution of concentration data from EGM (red) and picarro (blue), shown as a density plot.
CO2 concentration on the x axis and kernel density estimate on the y, which is a smoothed version of a histogram.![image](https://user-images.githubusercontent.com/20341158/96499874-fe03a200-121b-11eb-8112-7c135d5b2da9.png)
This is a potential way to show treatment differences. The dot represents the mean and the lines are the standard deviation for the Picarro data only.
I had some trouble trying to match![image](https://user-images.githubusercontent.com/20341158/96499845-f6dc9400-121b-11eb-8f2b-b533103e4ef6.png)
Core
andSample_number
and a corresponding treatment, hence the NA column.A few questions: