Dear Nega gupta,
In the last point, I meant to say, "Finally, it's better to post to the
list in plain-text email, rather than html (as the posting guide
suggests)." (I accidentally inserted a "not" in this sentence.)
Sorry,
John
On 2022-02-17 2:21 p.m., John Fox wrote:
Dear Nega gupta,
On 2022-02-17 1:54 p.m., Neha gupta wrote:
Hello everyone
I have a dataset with output variable "bug" having the following
values (at
the bottom of this email). My advisor asked me to provide data
distribution
of bugs with 0 values and bugs with more than 0 values.
data = readARFF("synapse.arff")
data2 = readARFF("synapse.arff")
data$bug
library(tidyverse)
data %>%
filter(bug == 0)
data2 %>%
filter(bug >= 1)
boxplot(data2$bug, data$bug, range=0)
But both the graphs are exactly the same, how is it possible? Where I am
doing wrong?
As it turns out, you're doing several things wrong.
First, you're not using pipes and filter() correctly. That is, you don't
do anything with the filtered versions of the data sets. You're
apparently under the incorrect impression that filtering modifies the
original data set.
Second, you're greatly complicating a simple problem. You don't need to
read the data twice and keep two versions of the data set. As well,
processing the data with pipes and filter() is entirely unnecessary. The
following code works:
with(data, boxplot(bug[bug == 0], bug[bug >= 1], range=0))
Third, and most fundamentally, the parallel boxplots you're apparently
trying to construct don't really make sense. The first "boxplot" is just
a horizontal line at 0 and so conveys no information. Why not just plot
the nonzero values if that's what you're interested in?
Fourth, you didn't share your data in a convenient form. I was able to
reconstruct them via
bug <- scan()
0 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 1 0 0 0 0 0
0 4 1 0
0 1 0 0 0 0 0 0 1 0 3 2 0 0 0 0 3 0 0 0 0 2 0 0 0 1 0 0 0 0 1 1 1 0 0
0 0 0 0
1 1 2 1 0 1 0 0 0 2 2 1 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 5 0 0 0 0 0 0
7 0 0 1
0 1 1 0 2 0 3 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 3 2 1 1 0 0 0 0 0 0
0 1 0 0
0 0 0 0 0 0 0 0 0 1 0 1 0 0 3 0 0 1 0 1 3 0 0 0 0 0 0 0 0 1 0 4 1 1 0
0 0 0 1
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0
data <- data.frame(bug)
Finally, it's better not to post to the list in plain-text email, rather
than html (as the posting guide suggests).
I hope this helps,
John
data$bug
[1] 0 1 0 0 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 0 0 0 1 0 0
0 0 0
0 4 1 0
[40] 0 1 0 0 0 0 0 0 1 0 3 2 0 0 0 0 3 0 0 0 0 2 0 0 0 1 0 0 0 0 1 1
1 0 0
0 0 0 0
[79] 1 1 2 1 0 1 0 0 0 2 2 1 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 5 0 0 0
0 0 0
7 0 0 1
[118] 0 1 1 0 2 0 3 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 3 2 1 1 0 0 0
0 0 0
0 1 0 0
[157] 0 0 0 0 0 0 0 0 0 1 0 1 0 0 3 0 0 1 0 1 3 0 0 0 0 0 0 0 0 1 0 4
1 1 0
0 0 0 1
[196] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 1 0 0 0 0 0
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
--
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
