Hello,

Thanks for the compliment.

The R Core team, to which we must be very grateful for their great work along so many years, is, for good and obvious reasons, known to be change resistant and a new method would overload them even more with maintenance worries so I guess text.htest won't make it to core R.

(And that would be to open a precedent. Is, for instance, text.lm next?)

If it does make it to base R, which I doubt, then the base R package should be package graphics, right?

In the mean time I have found a small bug, near the end of print.htest there's


print(x$estimate, digits = digits, ...)


corresponding to my


paste("sample estimates:", round(ht$estimate, digits = digits), sep =  "\n")


The bug is that x$estimate/ht$estimate is a named vector and with paste the names attribute is lost. It doesn't plot "mean of x". I will probably try to sort this out but make no promises.

Thanks once again,

Rui Barradas

Às 14:47 de 07/10/21, PIKAL Petr escreveu:
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 <ruipbarra...@sapo.pt>
Sent: Friday, September 17, 2021 9:56 PM
To: PIKAL Petr <petr.pi...@precheza.cz>; r-help <r-help@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



Às 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


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