README.md

In rfrancolini/tiltometer: Processes Tilt Current Meter Data

Tilto

Tiltometer

This is for managing and understanding your tiltmeter data

Requirements

• R v4+
• dplyr
• readr
• clifro
• stringr
• ggplot2

Installation

remotes::install_github("rfrancolini/tiltometer")

Read Example Data

library(tiltometer)
x <- read_tiltometer()
x

## # A tibble: 68,598 x 5
##    date                speed   dir     v      u
##    <dttm>              <dbl> <dbl> <dbl>  <dbl>
##  1 2021-05-14 12:00:00  117.  39.1  90.7   73.7
##  2 2021-05-14 12:02:00  117.  26.3 105.    51.8
##  3 2021-05-14 12:04:00  117. 258.  -23.6 -114. 
##  4 2021-05-14 12:06:00  117.  17.8 111.    35.7
##  5 2021-05-14 12:08:00  117. 307.   70.8  -92.7
##  6 2021-05-14 12:10:00  117. 214.  -97.0  -64.9
##  7 2021-05-14 12:12:00  117. 225.  -83.2  -81.9
##  8 2021-05-14 12:14:00  116.  72.0  35.9  110. 
##  9 2021-05-14 12:16:00  116. 221.  -87.6  -75.7
## 10 2021-05-14 12:18:00  116. 221.  -87.7  -76.6
## # ... with 68,588 more rows

uv <- draw_uv(x)
uv

month <- droplevels(factor(format(x$date, "%b"), levels = month.abb))
tiltometer_rose(x, facet = month, n_col = 2, speed.cuts = "quantile-4")

rfrancolini/tiltometer documentation built on Dec. 22, 2021, 3:08 p.m.