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PIKAL Petr

2021-Sep-16 14:12 UTC

[R] adding results to plot

Dear all

I know I have seen the answer somewhere but I am not able to find it. Please
help
> plot(1,1)
> res <- shapiro.test(rnorm(100))
> res
        Shapiro-Wilk normality test

data:  rnorm(100)
W = 0.98861, p-value = 0.5544

I would like to add whole res object to the plot.

I can do it one by one> text(locator(1), res$method)
> text(locator(1), as.character(res$p.value))...
But it is quite inconvenient

I could find some way in ggplot world but not in plain plot world.

Best regards
Petr

Bert Gunter

2021-Sep-16 14:44 UTC

head link

[R] adding results to plot

res is a list of class "htest" . You can only add text strings  to a
plot via text(). I don't know what ggplot does.

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Thu, Sep 16, 2021 at 7:22 AM PIKAL Petr <petr.pikal at precheza.cz>
wrote:>
> Dear all
>
> I know I have seen the answer somewhere but I am not able to find it.
Please
> help
>
> > plot(1,1)
> > res <- shapiro.test(rnorm(100))
> > res
>
>         Shapiro-Wilk normality test
>
> data:  rnorm(100)
> W = 0.98861, p-value = 0.5544
>
> I would like to add whole res object to the plot.
>
> I can do it one by one
> > text(locator(1), res$method)
> > text(locator(1), as.character(res$p.value))
> ...
> But it is quite inconvenient
>
> I could find some way in ggplot world but not in plain plot world.
>
> Best regards
> Petr
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Kimmo Elo

2021-Sep-16 14:45 UTC

head link

[R] adding results to plot

Hi!

Maybe with this:

text(x=0.6, y=1.2, paste0(capture.output(res), collapse="\n"), adj=0)

HTH,

Kimmo

to, 2021-09-16 kello 14:12 +0000, PIKAL Petr kirjoitti:> 	Virhe vahvistaessa allekirjoitusta: Virhe tulkittaessa
> Dear all
> 
> I know I have seen the answer somewhere but I am not able to find it.
> Please
> help
> 
> > plot(1,1)
> > res <- shapiro.test(rnorm(100))
> > res
> 
>         Shapiro-Wilk normality test
> 
> data:  rnorm(100)
> W = 0.98861, p-value = 0.5544
> 
> I would like to add whole res object to the plot.
> 
> I can do it one by one
> > text(locator(1), res$method)
> > text(locator(1), as.character(res$p.value))
> ...
> But it is quite inconvenient
> 
> I could find some way in ggplot world but not in plain plot world.
> 
> Best regards
> Petr
> 
> ------=_NextPart_000_00C9_01D7AB15.A6E04EE0--
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide 
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Jim Lemon

2021-Sep-17 00:31 UTC

head link

[R] adding results to plot

Hi Petr,
The hard part is the names for the data frame that addtable2plot requires:

set.seed(753)
res <- shapiro.test(rnorm(100))
library(plotrix)
plot(0,0,type="n",axes=FALSE)
addtable2plot(0,0,data.frame(element=names(res)[1:2],
  value=round(as.numeric(res[1:2]),3)),xjust=0.5,
  title=res$method)

There is probably a way to get blank names with data.frame(), but I gave up.

Jim

On Fri, Sep 17, 2021 at 12:22 AM PIKAL Petr <petr.pikal at precheza.cz>
wrote:>
> Dear all
>
> I know I have seen the answer somewhere but I am not able to find it.
Please
> help
>
> > plot(1,1)
> > res <- shapiro.test(rnorm(100))
> > res
>
>         Shapiro-Wilk normality test
>
> data:  rnorm(100)
> W = 0.98861, p-value = 0.5544
>
> I would like to add whole res object to the plot.
>
> I can do it one by one
> > text(locator(1), res$method)
> > text(locator(1), as.character(res$p.value))
> ...
> But it is quite inconvenient
>
> I could find some way in ggplot world but not in plain plot world.
>
> Best regards
> Petr
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

Rui Barradas

2021-Sep-17 19:56 UTC

head link

[R] adding results to plot

Hello,

*.test functions in base R return a list of class "htest", with its
own
print method.
The method text.htest for objects of class "htest" below is a hack. I 
adapted the formating part of the code of print.htest to plot text().
I find it maybe too complicated but it seems to work.

Warning: Not debugged at all.



text.htest <- function (ht, x, y = NULL, digits =
getOption("digits"),
                         prefix = "", adj = NULL, ...) {
   out <- list()
   i_out <- 1L
   out[[i_out]] <- paste(strwrap(ht$method, prefix = prefix), sep =
"\n")
   i_out <- i_out + 1L
   out[[i_out]] <- paste0("data:  ", ht$data.name)

   stat_line <- NULL
   i_stat_line <- 0L
   if (!is.null(ht$statistic)) {
     i_stat_line <- i_stat_line + 1L
     stat_line[[i_stat_line]] <- paste(names(ht$statistic), "=",
                                       format(ht$statistic, digits = 
max(1L, digits - 2L)))
   }
   if (!is.null(ht$parameter)) {
     i_stat_line <- i_stat_line + 1L
     stat_line[[i_stat_line]] <- paste(names(ht$parameter), "=",
                                       format(ht$parameter, digits = 
max(1L, digits - 2L)))
   }
   if (!is.null(ht$p.value)) {
     fp <- format.pval(ht$p.value, digits = max(1L, digits - 3L))
     i_stat_line <- i_stat_line + 1L
     stat_line[[i_stat_line]] <- paste("p-value",
                                       if (startsWith(fp, "<")) fp
else
paste("=", fp))
   }
   if(!is.null(stat_line)){
     i_out <- i_out + 1L
     #out[[i_out]] <- strwrap(paste(stat_line, collapse = ", "))
     out[[i_out]] <- paste(stat_line, collapse = ", ")
   }
   if (!is.null(ht$alternative)) {
     alt <- NULL
     i_alt <- 1L
     alt[[i_alt]] <- "alternative hypothesis: "
     if (!is.null(ht$null.value)) {
       if (length(ht$null.value) == 1L) {
         alt.char <- switch(ht$alternative, two.sided = "not equal
to",
                            less = "less than", greater =
"greater than")
         i_alt <- i_alt + 1L
         alt[[i_alt]] <- paste0("true ", names(ht$null.value),
" is ",
alt.char,
                                " ", ht$null.value)
       }
       else {
         i_alt <- i_alt + 1L
         alt[[i_alt]] <- paste0(ht$alternative, "\nnull values:\n")
       }
     }
     else {
       i_alt <- i_alt + 1L
       alt[[i_alt]] <- ht$alternative
     }
     i_out <- i_out + 1L
     out[[i_out]] <- paste(alt, collapse = " ")
   }
   if (!is.null(ht$conf.int)) {
     i_out <- i_out + 1L
     out[[i_out]] <- paste0(format(100 * attr(ht$conf.int,
"conf.level")),
                            " percent confidence interval:\n", "
",
                            paste(format(ht$conf.int[1:2], digits = 
digits), collapse = " "))
   }
   if (!is.null(ht$estimate)) {
     i_out <- i_out + 1L
     out[[i_out]] <- paste("sample estimates:", round(ht$estimate, 
digits = digits), sep = "\n")
   }
   i_out <- i_out + 1L
   out[[i_out]] <- "\n"
   names(out)[i_out] <- "sep"
   out <- do.call(paste, out)
   if(is.null(adj)) adj <- 0L
   text(x, y, labels = out, adj = adj, ...)
   invisible(out)
}


res <- shapiro.test(rnorm(100))
plot(1,1, ylim = c(0, length(res) + 1L))
text(res, 0.6, length(res) - 1)
res

res2 <- t.test(rnorm(100))
plot(1,1, ylim = c(0, length(res2) + 1L))
text(res2, 0.6, length(res2) - 1L)
res2


Hope this helps,

Rui Barradas



?s 15:12 de 16/09/21, PIKAL Petr escreveu:> Dear all
> 
> I know I have seen the answer somewhere but I am not able to find it.
Please
> help
> 
>> plot(1,1)
>> res <- shapiro.test(rnorm(100))
>> res
> 
>          Shapiro-Wilk normality test
> 
> data:  rnorm(100)
> W = 0.98861, p-value = 0.5544
> 
> I would like to add whole res object to the plot.
> 
> I can do it one by one
>> text(locator(1), res$method)
>> text(locator(1), as.character(res$p.value))
> ...
> But it is quite inconvenient
> 
> I could find some way in ggplot world but not in plain plot world.
> 
> Best regards
> Petr
> 
> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

PIKAL Petr

2021-Oct-07 13:47 UTC

head link

[R] adding results to plot

Hallo Rui.

I finally tested your function and it seems to me that it should propagate
to the core R or at least to the stats package.

Although it is a bit overkill for my purpose, its use is straightforward and
simple. I checked it for several *test functions and did not find any
problem.

Thanks and best regards.

Petr
> -----Original Message-----
> From: Rui Barradas <ruipbarradas at sapo.pt>
> Sent: Friday, September 17, 2021 9:56 PM
> To: PIKAL Petr <petr.pikal at precheza.cz>; r-help <r-help at
r-project.org>
> Subject: Re: [R] adding results to plot
> 
> Hello,
> 
> *.test functions in base R return a list of class "htest", with
its own
> print method.
> The method text.htest for objects of class "htest" below is a
hack. I
> adapted the formating part of the code of print.htest to plot text().
> I find it maybe too complicated but it seems to work.
> 
> Warning: Not debugged at all.
> 
> 
> 
> text.htest <- function (ht, x, y = NULL, digits =
getOption("digits"),
>                          prefix = "", adj = NULL, ...) {
>    out <- list()
>    i_out <- 1L
>    out[[i_out]] <- paste(strwrap(ht$method, prefix = prefix), sep =
"\n")
>    i_out <- i_out + 1L
>    out[[i_out]] <- paste0("data:  ", ht$data.name)
> 
>    stat_line <- NULL
>    i_stat_line <- 0L
>    if (!is.null(ht$statistic)) {
>      i_stat_line <- i_stat_line + 1L
>      stat_line[[i_stat_line]] <- paste(names(ht$statistic),
"=",
>                                        format(ht$statistic, digits >
max(1L, digits - 2L)))
>    }
>    if (!is.null(ht$parameter)) {
>      i_stat_line <- i_stat_line + 1L
>      stat_line[[i_stat_line]] <- paste(names(ht$parameter),
"=",
>                                        format(ht$parameter, digits >
max(1L, digits - 2L)))
>    }
>    if (!is.null(ht$p.value)) {
>      fp <- format.pval(ht$p.value, digits = max(1L, digits - 3L))
>      i_stat_line <- i_stat_line + 1L
>      stat_line[[i_stat_line]] <- paste("p-value",
>                                        if (startsWith(fp,
"<")) fp else
> paste("=", fp))
>    }
>    if(!is.null(stat_line)){
>      i_out <- i_out + 1L
>      #out[[i_out]] <- strwrap(paste(stat_line, collapse = ",
"))
>      out[[i_out]] <- paste(stat_line, collapse = ", ")
>    }
>    if (!is.null(ht$alternative)) {
>      alt <- NULL
>      i_alt <- 1L
>      alt[[i_alt]] <- "alternative hypothesis: "
>      if (!is.null(ht$null.value)) {
>        if (length(ht$null.value) == 1L) {
>          alt.char <- switch(ht$alternative, two.sided = "not equal
to",
>                             less = "less than", greater =
"greater than")
>          i_alt <- i_alt + 1L
>          alt[[i_alt]] <- paste0("true ", names(ht$null.value),
" is ",
> alt.char,
>                                 " ", ht$null.value)
>        }
>        else {
>          i_alt <- i_alt + 1L
>          alt[[i_alt]] <- paste0(ht$alternative, "\nnull
values:\n")
>        }
>      }
>      else {
>        i_alt <- i_alt + 1L
>        alt[[i_alt]] <- ht$alternative
>      }
>      i_out <- i_out + 1L
>      out[[i_out]] <- paste(alt, collapse = " ")
>    }
>    if (!is.null(ht$conf.int)) {
>      i_out <- i_out + 1L
>      out[[i_out]] <- paste0(format(100 * attr(ht$conf.int,
"conf.level")),
>                             " percent confidence interval:\n",
" ",
>                             paste(format(ht$conf.int[1:2], digits >
digits), collapse = " "))
>    }
>    if (!is.null(ht$estimate)) {
>      i_out <- i_out + 1L
>      out[[i_out]] <- paste("sample estimates:",
round(ht$estimate,
> digits = digits), sep = "\n")
>    }
>    i_out <- i_out + 1L
>    out[[i_out]] <- "\n"
>    names(out)[i_out] <- "sep"
>    out <- do.call(paste, out)
>    if(is.null(adj)) adj <- 0L
>    text(x, y, labels = out, adj = adj, ...)
>    invisible(out)
> }
> 
> 
> res <- shapiro.test(rnorm(100))
> plot(1,1, ylim = c(0, length(res) + 1L))
> text(res, 0.6, length(res) - 1)
> res
> 
> res2 <- t.test(rnorm(100))
> plot(1,1, ylim = c(0, length(res2) + 1L))
> text(res2, 0.6, length(res2) - 1L)
> res2
> 
> 
> Hope this helps,
> 
> Rui Barradas
> 
> 
> 
> ?s 15:12 de 16/09/21, PIKAL Petr escreveu:
> > Dear all
> >
> > I know I have seen the answer somewhere but I am not able to find it.
> Please
> > help
> >
> >> plot(1,1)
> >> res <- shapiro.test(rnorm(100))
> >> res
> >
> >          Shapiro-Wilk normality test
> >
> > data:  rnorm(100)
> > W = 0.98861, p-value = 0.5544
> >
> > I would like to add whole res object to the plot.
> >
> > I can do it one by one
> >> text(locator(1), res$method)
> >> text(locator(1), as.character(res$p.value))
> > ...
> > But it is quite inconvenient
> >
> > I could find some way in ggplot world but not in plain plot world.
> >
> > Best regards
> > Petr
> >
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >

R help - Sep 2021 - adding results to plot

[R] adding results to plot

[R] adding results to plot

[R] adding results to plot

[R] adding results to plot

[R] adding results to plot

[R] adding results to plot