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ylim & stat_compare_means
Hello dear,I have a problem. I checked this #305 ,but it did not work .
my_comparisons <- list(c("1","2"), c("1", "3"),c("1", "4"),
c("2","3"),c("2", "4"),
c("3", "4")
)
ggboxplot(df, x = "Patient",y="Value",outlier.shape=NA,fill = "Patient")+
#ylim(0,20)+
stat_compare_means(method = "wilcox.test", comparisons = my_comparisons,
# label.y=c( 20)
)
This will output following:
add ylim
ggboxplot(df, x = "Patient",y="Value",outlier.shape=NA,fill = "Patient")+
ylim(0,20)+
stat_compare_means(method = "wilcox.test", comparisons = my_comparisons,
label.y=c( 20)
)
This will output following:
There is not have p value in graph. Could you help me ?
hi, I have a similar problem, the label.y is not solving it.
plot_parameters <- function(parameter, y.label, y.low=0, y.high=100, stat.print.y = NA, df = dataset) {
df %>%
select(kat_cas, nick, parameter) %>%
pivot_longer(cols=parameter, names_to = "parameter", values_to = "values") %>%
ggplot(aes(x=kat_cas, y=values)) + geom_boxplot(width=0.3) +
stat_compare_means(comparisons = compare_to_zero,
method = "wilcox.test",
paired = TRUE,
label="p.signif", hide.ns = FALSE,
label.y = stat.print.y) +
coord_cartesian(ylim=c(y.low-(y.high-y.low)/10, y.high), clip = "off")
}
With a call plot_parameters("IL.6", 'IL-6 (ng/L)', 0, 15000, stat.print.y = 10000, df = df.septic)
I get the following result:
However, playing aroung with plot_parameters("IL.6", 'IL-6 (ng/L)', 0, 50000, stat.print.y = 10000, df = df.septic)
I get this result, which I cant explain
Thank you!
The length of label.y
should be the same as the number of brackets. If you have 5 brackets then label.y
should contain 5 values, one position for each bracket. See examples below:
suppressPackageStartupMessages(library(ggpubr))
# Load data
data("ToothGrowth")
head(ToothGrowth)
#> len supp dose
#> 1 4.2 VC 0.5
#> 2 11.5 VC 0.5
#> 3 7.3 VC 0.5
#> 4 5.8 VC 0.5
#> 5 6.4 VC 0.5
#> 6 10.0 VC 0.5
# Pairwise comparisons: Specify the comparisons you want
my_comparisons <- list( c("0.5", "1"), c("1", "2"), c("0.5", "2") )
p <- ggboxplot(ToothGrowth, x = "dose", y = "len",
color = "dose", palette = "npg")
# Add pairwise comparisons p-value
p + stat_compare_means(comparisons = my_comparisons)
# Changing bracket y position
# you should specify position for each bracket
# We have 3 brackets so label.y should contain 3 values
p + stat_compare_means(comparisons = my_comparisons, label.y = c(29, 35, 40))
See also https://rpkgs.datanovia.com/ggpubr/reference/geom_pwc.html