resid_plot: Calculate residual values and create plots

In forestmangr: Forest Mensuration and Management

Calculate residual values and create plots

Description

Function for creating plots and tables for residual values from observed and estimated values.

Usage

resid_plot(
  df,
  obs,
  ...,
  type = "scatterplot",
  point_size = 3,
  color = NA,
  nrow = NA,
  ncol = NA,
  lim_y = NA,
  xlab = "Observed values",
  clab = NA,
  font = "serif",
  legend_pos = "bottom",
  gray_scale = TRUE,
  res_table = FALSE
)

Arguments

df	A data frame.
obs	Quoted name of the observed values variable.
...	Quoted name(s) for the estimated values variable(s). Multiple variables must be separated by comma.
type	Character object for the type of plot created, The available plots are: "scatterplot", "histogram", "histogram_curve" and "versus". Default: "scatterplot".
point_size	Numeric value for the point size in scatter plots. Default: 3.
color	Quoted name of a variable. If supplied, this variable will be used to classify the data by color. Default: NA.
nrow	Numeric value for number of rows in the plot matrix. If not supplied, the plots will be automatically sorted. Default: NA.
ncol	Numeric value for number of columns in the plot matrix. If not supplied, the plots will be automatically sorted. Default: NA.
lim_y	Numeric value for the y axis upper and lower limit. If NA, the biggest residual value is used. Default: NA.
xlab	Character value for the x label used in some plots. Default: "Observed values".
clab	Character value for the color label used, if a color variable is supplied. If not supplied, the color variable name will be used. Default: NA.
font	Type of font used in the plot. Default: "serif".
legend_pos	Position of legend, when a color variable is supplied. This can either be "left", "right", "top" or "bottom". Default: "bottom".
gray_scale	If TRUE, the plot will be rendered in a gray scale. Default: "TRUE".
res_table	If TRUE, the function will return a data frame with observed, estimated, and residual values. Default: FALSE.

Value

A ggplot object, or, if res_table = TRUE, a data frame.

Author(s)

Sollano Rabelo Braga [e-mail]

Examples

library(forestmangr)
data("exfm11")
head(exfm11)

# Specifying the observed and estimated variables, we get a scatter plot
# for the percentage residuals:
resid_plot(exfm11, "TH", "TH_EST1")

# It's possible to get other types of plots, with the type argument:
resid_plot(exfm11, "TH", "TH_EST1", type = "histogram_curve")
resid_plot(exfm11, "TH", "TH_EST1", type = "versus")

# It's possible to add a factor variable as color in the plots:
resid_plot(exfm11, "TH", "TH_EST1", "TH_EST2", color="STRATA", 
xlab="Total Height (m)", clab="Strata", gray_scale=FALSE)

# If there are more estimated values variables, they can also be used
# in the comparison:
resid_plot(exfm11, "TH", "TH_EST1", "TH_EST2", "TH_EST3")

# It's possible to rearrange the plots with ncol and nrow:
resid_plot(exfm11, "TH", "TH_EST1", "TH_EST2", "TH_EST3", ncol=1)

# It's possible to get the residuals table used to generate these plots, with res_table=TRUE:
head( resid_plot(exfm11, "TH", "TH_EST1", "TH_EST2", res_table = TRUE) )

forestmangr documentation built on Nov. 24, 2023, 1:07 a.m.