LocR makes sense in programs only. Programming is not functional yet. Please don't use LocR.

Nevertheless: merci and 22 more points for you!

LocR makes sense in programs only. Programming is not functional yet. Please don't use LocR.

Nevertheless: merci and 22 more points for you!

Merci! Just a question: why use small caps on p 157 of RefMan for ADM, ... ..., #DEC ? All predefined variables and system flags are printed this way in the manuals (cf. p. 9). other remark : I think you should indicate how to delete HIDE nn by ordering HIDE 00 Merci. Done. and other typo problem : ...

Looks like the matrix division problem Pierre found is solved with 0.20.9.

- Sun Sep 26, 2021 9:37 pm
- Forum: Discuss!
- Topic: Standard error of forecast
- Replies:
**10** - Views:
**742**

FYI, you find the properly formatted result for the standard error on p. 229 of the *WP 43S Reference Manual* now. And this manual is provided at https://gitlab.com/Over_score/wp43s/-/releases.

Release 0.20.9 is here https://gitlab.com/Over_score/wp43s/-/releases. We added new commands: HIDE and HIDE?. We refined dealing with matrices (which is work in progress still). And the manuals were refined, of course (changed passages are marked in red there). Included in the release package is ev...

- Wed Sep 22, 2021 9:36 pm
- Forum: Bug reports
- Topic: [DM15L] trig functions
- Replies:
**4** - Views:
**224**

When I type 2>pi>×>SIN using the Radian angular display the result is not 0 (zero). Instead, its 8.2E-10. That's because you don't get exactly 2\(\pi\) when you type [2] [PI] [x]. What you get is a number that's correct to 10 decimal places, so close to 2\(\pi\) but not equal to 2\(\pi\). You're th...

- Tue Sep 14, 2021 2:23 pm
- Forum: Discuss!
- Topic: Standard error of forecast
- Replies:
**10** - Views:
**742**

Found the errors I made: For calculating t^(-1) for the standard error of a forecast f on the regression line, the probability must be set to one minus half the error probability, i.e. 1 - (1 - 0.683)/2 = 0.8415. Then t^(-1) approx. equals 1, so ditching this factor in the formula S(f) = t^(-1)(n-2,...

- Fri Sep 10, 2021 7:43 pm
- Forum: Discuss!
- Topic: Standard error of forecast
- Replies:
**10** - Views:
**742**

This t^(-1) is the inverse of the t distribution for n-2 degrees of freedom and a probability of 0.683 (it returns some 0.5 ± 5%). I found this looking at some old books and papers explaining confidence limits for the estimated forecast (Schätzwert). The probability 0.683 corresponds to the standard...

- Wed Sep 08, 2021 10:18 pm
- Forum: Discuss!
- Topic: Standard error of forecast
- Replies:
**10** - Views:
**742**

the formula for the variance of a forecasting value f is: S(f)^2 = S(e)^2 * (1+(1/N) + (x0-mean(x))^2/sum(xi-mean(x))^2) Whereas: N = number of observations mean(x) = arithmetic mean of x x0 = value of x for which you want a forecast Se^2 = sum(yi-(a+b*xi))^2/(N-2) a is the constant, b the slope of...

- Sat Sep 04, 2021 9:38 pm
- Forum: Discuss!
- Topic: WP 43S Pilot Run (Poll!)
- Replies:
**338** - Views:
**87842**

Yes, in principle. We are pretty sure that's it for the primary labels now. Though nothing's really carved in stone as long as no production tools are made (and a change of shifted labels only won't be a show-stopper even after the pilot batch since you could cope with it using an appropriate overla...