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A time series dataset consisting of the minimum relative humidity observed in the city of Manaus from January 2009 to December 2020. This dataset is a sample of size n = 144 monthly blocks.

Usage

humidity_manaus

Format

`humidity_manaus' A tibble with 144 rows and 5 columns

year

The year in which this data was observed

rh

Relative Humidity

dbt

Dry Bulb Temperature

wbt

Wet Bulb Temperature

month

The month in which this data was observed

Source

NASCIMENTO, Leonardo Brandão Freitas; LIMA, Max Sousa; DUCZMAL, Luiz H. P-min-stable regression models for time series with extreme values of limited range. Environmetrics, Issue 2, v. 36, 2025.

Examples

# Relative humidity time series of Amazonas
# Loading dplyr and ggplot to structure the data
require(dplyr)
require(ggplot2)

# Creating date column and plotting the time series
humidity_manaus %>%
  mutate(date = as.Date(paste0(year, "-", month, "-","01"))) %>%
  ggplot(aes(x = date, y = rh)) +
  geom_line() +
  theme_minimal() +
  labs(
    title = "Relative Humidity of Amazonas (2010 - 2020)",
    x = "Date",
    y = "Relative Humidity"
  )