simple_agree-methods: Methods for simple_agree objects

Description

Methods defined for objects returned from the agree functions.

Usage

# S3 method for simple_agree
print(x, ...)
# S3 method for simple_agree
plot(
  x,
  type = 1,
  x_name = "x",
  y_name = "y",
  geom = c("geom_point", "geom_bin2d", "geom_density_2d", "geom_density_2d_filled",
    "stat_density_2d"),
  smooth_method = NULL,
  smooth_se = TRUE,
  ...
)
check(x)
# S3 method for simple_agree
check(x)

Value

print: Prints short summary of the Limits of Agreement

plot

Returns a plot of the limits of agreement (type = 1) or concordance plot (type = 2)

check

Returns 2 plots, p_norm and p_het, testing the assumptions of a Bland-Altman analysis. P-values for the normality and heteroskedasticity tests are provided as captions to the plot.

Arguments

x: object of class simple_agree as returned from a function starting with 'agree'
...: further arguments passed through, see description of return value for details. agree_test.
type: Type of plot to output. Default (1) is Bland-Altman plot while type=2 will produce a line-of-identity plot.
x_name: Name/label for x values (first measurement)
y_name: Name/label for y values (second measurement)
geom: String naming the type of geometry to display the data points. Default is "geom_point". Other options include: "geom_bin2d", "geom_density_2d", "geom_density_2d_filled", and "stat_density_2d".
smooth_method: Smoothing method (function) to use, accepts either NULL or a character vector, e.g. "lm", "glm", "gam", "loess" or a function. Default is NULL, which will not include a trend line.
smooth_se: Display confidence interval around smooth?