> table(scrounging)
substr
behav air ground tree vine
active 1 536
foraging 2 630
inactive 6 113
snoozing 2 137
> likert(t(table(scrounging)))
From: R-help on behalf of Ji
Hi Areti,
Maybe this will help:
scrounging<-data.frame(
behav=sample(c("inactive","active","foraging","snoozing"),50,TRUE),
substr=sample(c("tree","ground","vine","air"),50,TRUE))
scrounge.tab<-table(scrounging)
barplot(scrounge.tab)
legend(3.8,14,c("inactive","active","foraging","snoozing"),
f
> counts <- with(mtcars, table(gear, vs))
> counts
vs
gear 0 1
3 12 3
4 2 10
5 4 1
> likert(counts)
>
If this isn't enough, ask a more specific question.
From: R-help on behalf of Richard M. Heiberger
Sent: Wednesday, March 10, 2021 1
Hello,
Please read the posting guide at the end of this and every R-Help mail.
You should post the output of
dput(data)
or, if the data set 'data' is too big, the output of
dput(head(data, 20))
for us to be able to help you.
Rui Barradas
Às 18:29 de 10/03/21, Areti Panopoulou escreveu:
Hel
install.packages("HH")
library(HH)
?likert
>From your description, I think your data is set up to work with likert()
From: R-help on behalf of Areti Panopoulou
Sent: Wednesday, March 10, 2021 13:29
To: r-help@r-project.org
Subject: [External] [R] Help p
Hello,
I am trying to make a stacked barplot with different behaviours
("inactive", "active", "foraging" etc) on different substrates ("tree",
"ground" etc). I have found this function:
# Stacked Bar Plot with Colors and Legend
counts <- table(mtcars$vs, mtcars$gear)
barplot(counts, main="Car Dis
Hello all,
R package {peruse 0.3.1} is on CRAN. {peruse} provides simple tools for
sequence iteration and set comprehension. It is especially useful for analyzing
recursively generated sequences, including any stochastic process. The main
page at https://jacgoldsm.github.io/peruse/ provides in-
and slicing the df
> according to the color, like so
>
> set.seed(20210310)
> years <- sample(x=seq(2011, 2018), size = 365*8, replace = TRUE)
> values <- sample(x=seq(0,100), size = 365*8, replace = TRUE)
> df <- data.frame(year = years, value = valu
Hello there again,
Sorry, I missed that part in the middle
about set.seed. As per [1], you need to
run stripchart again with the add
argument set to TRUE, and slicing the df
according to the color, like so
set.seed(20210310)
years <- sample(x=seq(2011, 2018), size = 36
r <- 'red'
>> stripchart(df$value ~ df$year, pch=18, col=df$color, method='stack')
>>
>> When I use multiple values per y axis category, all points in a specific
>> y axis category have the same color:
>>
>> set.seed(20210310)
>> y
Dear Rasmus,
there is no difference in the small exmaple, because there is only one
point per year.
If you use the example with multiple points per year, you will see the
difference.
Best, Robin
On 3/10/21 3:15 PM, Rasmus Liland wrote:
> Dear Robin and Gerrit,
>
> I am unable to see the diffe
Dear Robin and Gerrit,
I am unable to see the difference in the
plot in the two cases ...
df <- data.frame(year = seq(2011, 2018), value = seq(10, 80, 10))
df$color <- 'black'
df[df$value<33,]$color <- 'blue'
df[df$value>66,]$color <- 'red'
file
lor <- 'red'
stripchart(df$value ~ df$year, pch=18, col=df$color, method='stack')
When I use multiple values per y axis category, all points in a specific
y axis category have the same color:
set.seed(20210310)
years <- sample(x=seq(2011, 2018), size = 365*8, rep
x27;blue'
df[df$value>66,]$color <- 'red'
stripchart(df$value ~ df$year, pch=18, col=df$color, method='stack')
When I use multiple values per y axis category, all points in a specific
y axis category have the same color:
set.seed(20210310)
years <- sample(x=seq(2011,
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