soiltestcorr (version 2.2.1)

cate_nelson_1971: Cate & Nelson quadrants analysis (statistical)

Description

This function runs the quadrants analysis suggested by Cate and Nelson (1971)

Usage

cate_nelson_1971(data = NULL, stv, ry, tidy = TRUE, plot = FALSE)
boot_cn_1971(data, ry, stv, n = 5, ...)

Value

returns an object of type ggplot if plot = TRUE.

returns an object of class data.frame if tidy = TRUE,

returns an object of class list if tidy = FALSE.

boot_cn_1971: bootstrapping function

Arguments

data

argument to call a data.frame or data.table containing the data

stv

argument to call the vector or column containing the soil test value (stv) data

ry

argument to call the vector or column containing the relative yield (ry) data

tidy

logical operator (TRUE/FALSE) to decide the type of return. TRUE returns a data.frame, FALSE returns a list. Default: TRUE.

plot

logical operator (TRUE/FALSE) to decide the type of return. TRUE returns a ggplot, FALSE returns either a list (tidy == FALSE) or a data.frame (tidy == TRUE).

n

sample size for the bootstrapping Default: 500

...

when running bootstrapped samples, the ... (open arguments) allows to add grouping variable/s (factor or character) Default: NULL

Details

See online-documentation for additional details.

References

Cate & Nelson (1971). A simple statistical procedure for partitioning soil test correlation data into two classes. Soil Sci. Soc. Am. Proc. 35:658-660. tools:::Rd_expr_doi("10.2136/sssaj1971.03615995003500040048x")

See Also

eval_tidy,defusing-advanced lm,anova ggplot,aes,geom_point,labs,geom_abline,annotate,theme

Examples

# \donttest{
 # Example 1 dataset
 dat <- data.frame("ry" = c(65,80,85,88,90,94,93,96,97,95,98,100,99,99,100),
                   "stv" = c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15))
 # Run
 fit_example_cn_1971 <- cate_nelson_1971(data = dat, 
 ry = ry, stv = stv, tidy=FALSE, plot=FALSE)
 
 fit_example_cn_1971
# }