Questions tagged [par]

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par is a paragraph reformatter, vaguely similar to fmt, but better. It can format, justify, align, slice and dice using a bewildering array of options. See http://www.nicemice.net/par/

par is a filter which copies its input to its output, changing all white characters (except newlines) to spaces, and reformatting each paragraph. Paragraphs are separated by protected, blank, and bodiless lines (see the Terminology section for definitions), and optionally delimited by indentation (see the d option in the Options section). Each output paragraph is generated from the corresponding input paragraph as follows:

  1. An optional prefix and/or suffix is removed from each input line.
  2. The remainder is divided into words (separated by spaces).
  3. The words are joined into lines to make an eye-pleasing paragraph.
  4. The prefixes and suffixes are reattached.

If there are suffixes, spaces are inserted before them so that they all end in the same column.

In scientific software for statistical computing and graphics, par is a use function to set or query graphical parameters. Many parameters can also be passed as arguments to plotting functions. See ?par.

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Update multiple curves in figure in R

I'm trying to update and plot multiple curves in a plot by using a for loop. However I can not find a way to do it in a multiple plot, using the par function. I have tried using the par function with the argument: new = TRUE. That worked with one…
jonas
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Use of uninitialized value in do "file" at "path" PAR.pm line 636

I used Net::SSH::Perl to ssh to server and send command and collect the information. The script works fine when i execute it using perl ssh.pl But when I create standalone binary in redhat linux and execute the script is throwing the below…
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RStudio "Hit to see next plot:"

SORRY Thanks for everyone's help. I was a dick in the comments. Sorry about that. For the life of me I cannot get RStudio to stop telling me to "Hit to see next plot:" MWE: data(women) fit = lm(weight ~ height, women) plot(fit) plot(fit) should…
invictus
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