twofacaov | R Documentation |
The function performs a two way ANOVA and Tukey post-hoc test for normalized Rootdetection standard over grouping variable 1 and 2 (Factor1 and Factor2). Caution: In the actual version it is necessary to provide a Label column (grouping variable 1 and 2 separated by label delimiter (label_delim)) in addition to grouping variable 1 and 2 necessary.
twofacaov(
root_norm,
col_grouping1 = "Factor1",
col_grouping2 = "Factor2",
col_value = "LengthMM",
col_label = "Label",
label_delim = ";",
summary_plots = F,
draw_out = F,
file = "2fac_ANOVA_all_vs_all.pdf",
axis_label_size = 0.7,
p_value_size = 0.8
)
root_norm |
data.frame; normalized Rootdetection data set |
col_grouping1 |
string; column name of the first grouping variable (Factor1) |
col_grouping2 |
string; column name of the second grouping variable (Factor2) |
col_value |
string; name of the column containing values (dependent variable) (LengthMM) |
col_label |
string; column name of label (combining grouping variable 1 and 2 separated by delimiter) |
label_delim |
character; defines how Factor1 and Factor2 are separated in Label |
summary_plots |
logical; If TRUE summary plots were printed (plot(aov)) |
draw_out |
logical; If TRUE Matrix containing p-values is plotted in pdf file |
file |
string; file name of the pdf output (is needed if draw_out = T) |
axis_label_size |
numeric; font size of axis labels |
p_value_size |
numeric; font size of the p-values printed in pdf file |
list; data.frames containing p-values for one-way ANOVA and Tukey post-hoc over grouping variable 1 and 2 (Factor1 and Factor2)
# get data.frame containing p-values for two-way ANOVA and Tukey post-hoc
root_norm <- norm_10mm_standard(root_output)
twofacaov(root_norm, label_delim = ";", draw_out = FALSE)
# get data.frame and plot as pdf output
root_norm <- norm_10mm_standard(root_output)
twofacaov(root_norm, label_delim = ";", draw_out = TRUE, file = "2fac_ANOVA_all_vs_all.pdf")
#' # function creates a pdf file 2fac_ANOVA_all_vs_all.pdf
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