Print an object of class lpcor or or lpcor_group in two ways.
By default, the results are shown in the R console. The results can also be
exported to the directory.
Usage
# S3 method for class 'lpcor'
print(x, export = FALSE, file.name = NULL, digits = 3, ...)Arguments
- x
An object of class
lpcororlpcor_group.- export
A logical argument. If
TRUE, a *.txt file is exported to the working directory- file.name
The name of the file if
export = TRUE- digits
The significant digits to be shown.
- ...
Options used by the tibble package to format the output. See
tibble::print()for more details.
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
pcor <- lpcor(data_ge2, NR, NKR, NKE)
print(pcor)
#> # A tibble: 3 × 5
#> Pairs linear partial t prob
#> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 NR x NKR 0.0206 -0.767 -14.8 0
#> 2 NR x NKE 0.626 0.866 21.4 0
#> 3 NKR x NKE 0.708 0.891 24.3 0
# Compute the correlations for each level of the factor ENV
lpc2 <- lpcor(data_ge2,
NR, NKR, NKE,
by = ENV)
print(lpc2)
#> # A tibble: 420 × 6
#> ENV Pairs linear partial t prob
#> <fct> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 A1 PH x EH 0.425 0.981 25.1 0
#> 2 A1 PH x EP -0.124 -0.971 -20.1 0
#> 3 A1 PH x EL -0.00287 -0.169 -0.841 0.408
#> 4 A1 PH x ED 0.0729 0.301 1.55 0.135
#> 5 A1 PH x CL -0.158 -0.311 -1.60 0.122
#> 6 A1 PH x CD 0.140 0.183 0.911 0.372
#> 7 A1 PH x CW -0.0111 0.155 0.771 0.448
#> 8 A1 PH x KW 0.0825 0.155 0.770 0.449
#> 9 A1 PH x NR -0.0142 0.389 2.07 0.0496
#> 10 A1 PH x NKR 0.140 0.271 1.38 0.181
#> # ℹ 410 more rows
# }