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Default level = 0.95. Does this mean +/- 0.025 from estimate? [[alternative HTML version deleted]]

Colleagues, Many of my colleagues come to me for a recommendation for statistical software. Since I am an R user, that's my typical answer. Some colleagues of mine refuse to use it because of its steep learning curve and lack of a GUI. They wanted a statistical software that's free and that had a GUI. I recently learned about JASP. See https://jasp-stats.org/ for more details This may be

> On Jul 20, 2016, at 10:01 AM, Tom Subia <tgs77m at gmail.com> wrote: > > Default level = 0.95. > Does this mean +/- 0.025 from estimate? > > [[alternative HTML version deleted]] I would have guessed that it meant something along the lines of localized (or one might say "loess-ized") mean +/- 2* similarly localize...

What do you mean "Rounded"? What do you expect, what do you get instead? ? > On Jul 22, 2023, at 10:40, Thomas Subia via R-help <r-help at r-project.org> wrote: > > Colleagues, > Thanks for the update. > My colleagues at work have run this script but the resulting graph output for value is rounded. How can one turn this annoying feature off? > I've

...---------------- Here you go. I have no idea how it does this, and have a discussion on elements of "Sein und Zeit" and book 19 of the Odyssey, and tutor me in Italian conversation, and draft Mermaid mind-maps - but here we are. :-) > On Jul 22, 2023, at 10:50, Thomas Subia <tgs77m at yahoo.com> wrote: > > \In this example, the value was 2324, the gauge displays 2320. > I'm not sure why this occurs. Changing the statement to 56, results in the gauge reading 60. I'm not sure what needs to be changed in the script or the environment to stop rounding. &g...

Colleagues Given the coefficients of a cubic polynomial, a,b,c,d and using discriminant_cubic <- function(a, b, c, d) { D <- 18 * a * b * c * d - 4 * b^3 * d + b^2 * c^2 - 4 * a * c^2 - 27 * a^2 * d^2 return(D) } I can find the discriminant of a cubic polynomial. Is there an R package which can do this? Thomas Subia

Hello all, Zeki(?) reported: > ggplot(data = mtcars, aes(x= wt, y= mpg)) + geom_line() > Error: Found object is not a stat. Using R v3.4.62 and R studio, I'm unable to reproduce this error. All the best, Thomas Subia [[alternative HTML version deleted]]

Thanks for writing this great piece of code. x = rnorm(100) boxplot(x) # you shouldn't see any outliers here although sometimes yow will # lets add some outliers intentionally x = c(21, 20, 25, x) # now 10, 15 and 20 are outliers myboxplot <- boxplot(x) # now you should see your three outliers myboxplot$out # it will print the values of the outliers How does one amend