Yep, that did it. I didn't know that you could have pipelines within
pipelines.
Thanks, again, for all your help.
-Kevin
On 5/16/23 11:44, Rui Barradas wrote:> ?s 15:29 de 16/05/2023, Kevin Zembower via R-help escreveu:
>> Hello,
>>
>> I's still working with my tsibble of weight data for the last 20
years.
>> In addition to drawing an overall trend line, using lm, for the whole
>> data set, I'd like to draw short lines that would recompute lm and
draw
>> it, say, just for the years from 2010:2015.
>>
>> Here's a short example that I think illustrates what I'm trying
to do.
>> The commented out sections show what I've tried to far:
>>
>> ## Short example to test segments:
>>
>> w <- tsibble(
>> ????? date = as.Date("2022-01-01") + 0:99,
>> ????? value = rnorm(100)
>> )
>>
>> ggplot(data = w, mapping = aes(date, value)) +
>> ????? geom_smooth(method = "lm", se = FALSE) +
>> ????? geom_point()
>> ????? ## Below gives error about ignoring data
>> ????? ## geom_abline( data = w$date[25:75] )
>> ????? ## Gives error ''data' must be in
<data.frame>'
>> ????? ## geom_smooth(data = w$date[25:35],
>> ????? ##???????????? method = lm,
>> ????? ##???????????? color = "black",
>> ????? ##???????????? se = FALSE)
>>
>> I'm thinking that this is probably easily done, but I'm
struggling with
>> how to subset the data in the middle of the pipeline.
>>
>> Thanks for any advice and help.
>>
>> -Kevin
>>
>> ______________________________________________
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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.
> Hello,
>
> Try the following.
> In the 2nd geom_smooth you need a subset of the data not of just one of
> its columns.
>
>
>
> suppressPackageStartupMessages({
> ? library(tsibble)
> ? library(dplyr)
> ? library(ggplot2)
> ? library(lubridate)
> })
>
> ggplot(data = w, mapping = aes(date, value)) +
> ? geom_smooth(formula = y ~ x, method = "lm", se = FALSE) +
> ? geom_point() +
> ? geom_smooth(
> ??? data = w %>% filter(year(date) >= 2010, year(date) <= 2015),
> ??? mapping = aes(date, value),
> ??? formula = y ~ x,
> ??? method = lm,
> ??? color = "black",
> ??? se = FALSE
> ? )
>
>
> Other ways to subset the data are
>
>
> # dplyr
> data = w %>% filter(year(date) %in% 2010:2015)
> # base R
> data = subset(w, year(date) %in% 2010:2015)
>
>
> Hope this helps,
>
> Rui Barradas
>
