reports/old/centroids_intuition/sensitivity.md

Sensitivity

Renata Diaz 8/22/2019

## Loading in data version 1.90.0

## Warning in bind_rows_(x, .id): binding factor and character vector,
## coercing into character vector

## Warning in bind_rows_(x, .id): binding character and factor vector,
## coercing into character vector

## Loading required package: polynom

Centroids

This seems to match intuition from the coefficients plot. I'm not completely sure but I think the euclidean distance to all other points (above) is weird for a couple reasons; one being it's not actually being calculated to all other points; I just cycled forward two ticks. So every point gets compared to 2 other points, I guess? i + 2 and i - 2.

## # A tibble: 6 x 5
##   sim_source   sim varname     coefficient varindex
##   <chr>      <int> <chr>             <dbl>    <int>
## 1 mete           1 (Intercept)      0.0928        1
## 2 mete           2 (Intercept)      0.0815        1
## 3 mete           3 (Intercept)      0.0856        1
## 4 mete           4 (Intercept)      0.0515        1
## 5 mete           5 (Intercept)      0.0606        1
## 6 mete           6 (Intercept)      0.0489        1

Centroids on log abundance?

(want to somehow downweight really big abundance values? but euclidean distance in log space seems highly suspect, and I don't really have intuition for interpreting the results)



diazrenata/scads documentation built on Nov. 4, 2019, 10:30 a.m.