R help - Feb 2022 - Problem with data distribution

You pipe the filter but do not save the result. A reproducible example might
help.
Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Neha gupta
Sent: Thursday, February 17, 2022 1:55 PM
To: r-help mailing list <r-help at r-project.org>
Subject: [R] Problem with data distribution

[External Email]

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?


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

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provide commented, minimal, self-contained, reproducible code.

That is all the code I have. How can I provide a  reproducible code ?

How can I save this result?

On Thu, Feb 17, 2022 at 8:00 PM Ebert,Timothy Aaron <tebert at ufl.edu>
wrote:
> You pipe the filter but do not save the result. A reproducible example
> might help.
> Tim
>
> -----Original Message-----
> From: R-help <r-help-bounces at r-project.org> On Behalf Of Neha
gupta
> Sent: Thursday, February 17, 2022 1:55 PM
> To: r-help mailing list <r-help at r-project.org>
> Subject: [R] Problem with data distribution
>
> [External Email]
>
> 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$bug, range=0)
>
> But both the graphs are exactly the same, how is it possible? Where I am
> doing wrong?
>
>
> data$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 at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Dhelp&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeAsRzsn7AkP-g&m=TZx8pDTF9x1Tu4QZW3x_99uu9RowVjAna39KcjCXSElI1AOk1C_6L2pR8YIVfiod&s=NxfkBJHBnd8naYPQTd9Z8dZ2m-RCwh_lpGvHVQ8MwYQ&e>
PLEASE do read the posting guide
>
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.R-2Dproject.org_posting-2Dguide.html&d=DwICAg&c=sJ6xIWYx-zLMB3EPkvcnVg&r=9PEhQh2kVeAsRzsn7AkP-g&m=TZx8pDTF9x1Tu4QZW3x_99uu9RowVjAna39KcjCXSElI1AOk1C_6L2pR8YIVfiod&s=exznSElUW1tc6ajt0C8uw5cR8ZqwHRD6tUPAarFYdYo&e>
and provide commented, minimal, self-contained, reproducible code.
>
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