Data
Raw data
The data were obtained from xx and were organized in xx excel/csv files. The example file is in the wide format where each day of assessment is in a different column, etc.
Data wrangling
The original files were modified as following. The names of the variables were changed to.. The original wide format was retained and will be transformed using the dplyr functions, etc.
Glimpse
library(tidyverse)
data <- read_delim("data/data.csv", delim = ";")
glimpse(data)## Observations: 33
## Variables: 6
## $ Dia <int> 0, 5, 8, 15, 20, 26, 30, 36, 40, 44, 50, 0, 5, 8, 1...
## $ Tratamento <chr> "Testemunha", "Testemunha", "Testemunha", "Testemun...
## $ bloco1 <int> 0, 3, 3, 5, 8, 28, 50, 75, 80, 93, 98, 0, 3, 5, 5, ...
## $ bloco2 <int> 0, 3, 3, 15, 20, 35, 50, 80, 85, 98, 100, 0, 3, 5, ...
## $ bloco3 <int> 3, 3, 3, 5, 15, 23, 30, 40, 60, 95, 100, 5, 5, 5, 5...
## $ bloco4 <int> 0, 0, 3, 10, 10, 18, 43, 53, 70, 95, 100, 0, 3, 5, ...Description of variables
- Variable1:
- Description
- Type: character
Unit
- Variable2:
- Description
- Type: integer
Unit
- Variable3:
- Description
- Type: double
Unit:
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