onefacaov_fac1: One-way ANOVA Over Grouping Variable 1

In PhilippJanitza/rootdetectR: Statistical analysis of rootdetection output with R

One-way ANOVA Over Grouping Variable 1

Description

The function performs a one-way ANOVA and Tukey post-hoc test over grouping variable 1 (Factor1). The function iterates over a second grouping variable (Factor2) if given.

Usage

onefacaov_fac1(
  root_norm,
  col_grouping1 = "Factor1",
  col_grouping2 = "Factor2",
  col_value = "LengthMM",
  summary_plots = F,
  draw_out = F,
  file_base = "1fac_ANOVA_factor1",
  axis_label_size = 0.7,
  p_value_size = 0.8
)

Arguments

root_norm	data.frame; normalized Rootdetection data set
col_grouping1	string; name of the column that should be used as grouping variable 1 (Factor1)
col_grouping2	string; name of the column that should be used as grouping variable 2 (Factor2) to iterate over, can be set to NULL if not existing
col_value	string; name of the column containing values (dependent variable) (LengthMM)
summary_plots	logical; If TRUE summary (plot(aov)) will be plotted
draw_out	logical; If TRUE a matrix containing p-values is plotted in a pdf file
file_base	string; file base name of the pdf output (is needed if draw_out = TRUE)
axis_label_size	numeric; font size of axis labels in pdf file (if draw_out = TRUE)
p_value_size	numeric; font size of p-values in pdf file (if draw_out = TRUE)

Value

list; data.frames containing p-values of one-way ANOVA and Tukey post-hoc

Examples

### Usage Standard Rootdetection ###

# get data.frame containg p-values
root_norm <- norm_10mm_standard(root_output)
onefacaov_fac1(root_norm, draw_out = FALSE)

# plot p-value matrix as pdf output

root_test_norm <- norm_10mm_standard(root_output)
onefacaov_fac1(root_test_norm, draw_out = TRUE, file_base = "1fac_ANOVA_factor1")
# function creates two pdf files: 1fac_ANOVA_factor1_20.pdf and 1fac_ANOVA_factor1_28.pdf


### Usage for table containing only a single grouping variable ###

# produce example data set containing only a single grouping variable
root_single_var <- root_test_norm[root_test_norm$Factor2 == "20", ]
root_single_var$Factor2 <- NULL
# rename some columns
colnames(root_single_var)[colnames(root_single_var) == "LengthMM"] <- "length"
colnames(root_single_var)[colnames(root_single_var) == "Factor1"] <- "lines"

# use onefacaov_fac1 to conduct one-way ANOVA
onefacaov_fac1(root_single_var, col_grouping1 = "lines", col_grouping2 = NULL, col_value = "length")

PhilippJanitza/rootdetectR documentation built on Feb. 24, 2024, 6:46 a.m.