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Console applications for distribution functions implemented in FunktionWin (see Schrausser, 2023a, 2024, res.). Theta applications generating distributions and estimators for several parameters $\theta$ within different designs via bootstrap method, with given number of resamples $B$, where bootstrap estimator
$$\hat\theta_B=B^{-1}⋅\sum_{i=1}^B\theta^*_i.$$
Implemented in ThetaWin (see Schrausser, 2009, 2023b, res.).
$$f(X\le k|n)=\sum_{i=0}^k{\frac{n!}{i!⋅(n-i)!}}⋅p^i⋅q^{(n-i)}.$$
Usage:
Binomial [p] [k] [n] [[1]] [p] ............. probability of event A [k] ............. n of events A [n] ..............n of trials [1] ............. (1) full output
$$f(X\le b|b,c)=p=\sum_{i=0}^b{\frac{(b+c)!}{i!⋅(b+c-i)!}}⋅2^{-i}⋅2^{-(b+c-i)}.$$
Usage:
Binomial_T [b] [c] [[1]] [b] ............. cell count b [c] ............. cell count c [1] ............. (1) full output
$$\varepsilon=\frac{\mu_1-\mu_0}{\hat\sigma}.$$
Usage:
epsilon [mode] [Q0] [s] [n] [e|Q1] [p] [df] [[x]] [mode] .......... (1)Effect-size (2)Theta.1 [Q0] .............Theta.0 [s] ............. Standard deviation [n] ............. n of cases [e|Q1] .......... Epsilon | Theta.1 [p] ............. Percent-level (0.00) [df] ............ Degrees of freedom n - (.) [x] ............. Test value
$$F(F,df_1, df_2)=1-p^{\alpha 2}= \int\limits_0^F \frac{\mathit{\Gamma} _{(\frac{df_1+df_2}{2})}}{\mathit{\Gamma} _{(\frac{df_1}{2})} ⋅\mathit{\Gamma} _{(\frac{df_2}{2})}} ⋅\Bigl(\frac{df_1}{df_2}\Bigr)^{\frac{df_1}{2}} ⋅F^{\frac{df_1}{2}-1} ⋅\Bigl(1+\frac{df_1}{df_2} ⋅F\Bigr)^{-\frac{df_1+df_2}{2}} \ dF.$$
Usage:
F_Function [mode] [x] [n1] [n2] [mode] ......... (1)Fx=p->F (2)Fy=F->p [x] ............ p-Wert/F-Wert [n1] ........... n1 [n2] ........... n2
$$f(X=a|a,b,c,d)=P0=\frac{(a+b)!⋅(c+d)!⋅(a+c)!⋅(b+d)!}{(a+b+c+d)!⋅a!⋅b!⋅c!⋅d!},$$
$$f(X\le n|a,b,c,d)=p^{exact2}=\sum\limits_{i=0}^n Pi;\ Pi\le P0.$$
Usage:
Fisher_Exact [a] [b] [c] [d] [[1]] [a][b][c][d] ... cell counts a,b,c,d [1] ............ (1) full output
$$Z=\frac{1}{2}⋅\mathrm{log_e}\Bigl(\frac{1+r}{1-r}\Bigr),$$
$$r=\frac{\mathrm{e}^{2⋅Z}-1}{\mathrm{e}^{2⋅Z}+1}.$$
Usage:
Fisher_Z [mode] [x] [mode] ......... (1)r->Z (2)Z->r [x] ............ r-value/Z-value
$$f(x,t)=\mathit{\Gamma} = \int\limits_0^\infty {t^{x-1} } ⋅\mathrm{e}^{-t} \ dt+c.$$
Usage:
GAMMA_Function [mode] [value] [mode] ......... (1)F(x)->⌈ (2)F'(⌈)->x [value] ........ x / ⌈
Usage:
GAMMA [n] [input] [output] [n] ............ n of cases [input] ........ input file [output] ....... output file
$$f(X\le r|p)=\sum_{i=0}^r{p⋅q^i}.$$
Usage:
Geometric [p] [r+1] [[1]] [p] ............ probability of event A [r+1] .......... n of trials [1] ............ (1) full output
$$f(X\le k|n,K,N)=\sum_{i=0}^k{\frac{\binom{K}{i}⋅\binom{N-K}{n-i}}{\binom{N}{n}}}.$$
Usage:
Hypergeometric [k] [n] [N] [K] [[1]] [k] ............ n of events A in Sub-Population [n] ............ size of Sub-Population [N] ............ size of Population [K] ............ n of events A in Population [1] ............ (1) full output
$$f(X\le k|n,p)=\sum_{i=0}^k\frac{(n⋅p)^i}{\mathrm{e}^{n⋅p}⋅i!}.$$
Usage:
Poisson [p] [k] [n] [[1]] [p] ............ probability of event A [k] ............ n of events A [n] ............ n of trials [1] ............ (1) full output
$$F(t,df)=p=\int\limits_{-\infty}^t\frac{\mathit{\Gamma} _{(\frac{df-1}{2})}}{\mathit{\Gamma} _{(\frac{df}{2})}}⋅(df⋅\mathrm{\pi})^{-\frac{1}{2}}⋅\Bigl(1+\frac{t^2}{df}\Bigr)^{-\frac{df-1}{2}}\ dt.$$
Usage:
t_Function [mode] [x] [n] [mode] ......... (1)Fx=p->t (2)Fy=t->p [x] ............ p-value/t-value [n] ............ n of cases
$$F(\chi^2,df)=1-p^{\alpha 2}= \int\limits_0^{\chi^2} \frac{1}{2^{\frac{df}{2}}⋅\mathit{\Gamma} _{(\frac{df}{2})}} ⋅(\chi^2)^{\frac{df}{2}-1} ⋅\mathrm{e}^{-\frac{\chi^2}{2}}\ d\chi^2.$$
Usage:
x2_Function [mode] [x] [n] [mode] ......... (1)Fx=p->x² (2)Fy=x²->p [x] ............ p-value/x²-value [n] ............ n of cases
$$f(z) =\vartheta= \frac{1}{{\sqrt {2⋅\mathrm{\pi}} }}⋅\mathrm{e}^{-\frac{z^2}{2}},$$
$$f^{-1}(z)=f(\vartheta)=z= \sqrt{\ln\Biggl(\frac{\vartheta}{\sqrt{(2⋅ \mathrm{\pi} )^{-1}}}\Biggr)^{-2}},$$
$$F(z)=p=\int\limits_{-\infty}^z\vartheta \ dz.$$
Usage:
z_Dichte [modus] [wert] [[f]]
[modus] ........ (1)fx=z->d (2)fy=d->z (3) ∫x=z->p
(4) ∫'p->z (5) ∫'p->d (6) ∫y=d->p
[wert] ......... z-Wert/z-Dichte/Prozentrang p
[f] ............ (1)z-Dichte Funktionsgraph
Usage:
z_Function [mode] [x] [mode] ......... (1)Fx=p->z (2)Fy=z->p [x] ............ p-value/z-value
Usage:
Theta [sd] [min] [max] [qq] [q] [v] [s] [[x]] [[g]]
[sd] ........... Seed: |0| Zeitwert
[min] ........... R Minimalwert
[max] ........... R Maximalwert
[qq] ........... Theta-Theta/
[q] ........... Theta:
|0| Harmonisches Mittel (HM)
|1| Arithmetisches Mittel (AM)
|2| Summe (SUM)
|3| Standardabweichung (SD)
|4| Populationsvarianzschaetzung (VAR)
|5| Produktsumme(PSM)
|6| Geometrisches Mittel(GM)
|7| Schrausser's d (D)
|8| DvarO (DV)
[v] ........... n zu Theta (v)
[s] ........... n Subpopulationen (s)
[x] ........... Vergleichswert x
[g] ........... |1| Wertebereich ganzzahlig
Usage:
Theta_Q [sd][min][max][qq][qp][qs1][qs2][qQ][v][m][n][s] [[x]] [[g]]
[sd] ........................... Seed: |0| Zeitwert
[min] ........................... R Minimalwert
[max] ........................... R Maximalwert
[qq] ........................... Theta-Theta/
[qp] ........................... Theta P/
[qs1] [qs2] ..................... Theta S1, S2:
|0| Harmonisches Mittel (HM)
|1| Arithmetisches Mittel (AM)
|2| Summe (SUM)
|3| Standardabweichung (SD)
|4| Populationsvarianzschaetzung (VAR)
|5| Produktsumme(PSM)
|6| Geometrisches Mittel(GM)
|7| Schrausser's d (D)
|8| DvarO (DV)
[qQ] ........................... Theta Q:
|1| Differenz
|2| Quotient
|3| Summe
|4| Produkt
[v] ........................... n zu Theta P (v)
[m] ........................... n zu Theta S1 (m)
[n] ........................... n zu Theta S2 (n)
[s] ........................... n Subpopulationen (s)
[x] ........................... Vergleichswert x
[g] ........................... |1| Wertebereich ganzzahlig
Usage:
Theta_Qv [sd][min][max][qq][qp][qs1][qs2][qQ][QQ][v][n][s] [[x]] [[g]]
[sd] ........................... Seed: |0| Zeitwert
[min] ........................... R Minimalwert
[max] ........................... R Maximalwert
[qq] ........................... Theta-Theta/
[qp] ........................... Theta P/
[qs1][qs2]....................... Theta S1, S2/
[qQ] ........................... Theta Q:
|0| Harmonisches Mittel (HM)
|1| Arithmetisches Mittel (AM)
|2| Summe (SUM)
|3| Standardabweichung (SD)
|4| Populationsvarianzschaetzung (VAR)
|5| Produktsumme(PSM)
|6| Geometrisches Mittel(GM)
|7| Schrausser's d (D)
|8| DvarO (DV)
[QQ] ........................... Theta Theta Q:
|1| Differenz
|2| Quotient
|3| Summe
|4| Produkt
|5| Korrelation
|6| Kovarianz
|7| Determinationskoeffizient
|8| Redundanz
[v] ........................... n zu Theta P (v)
[n] ........................... n zu Theta S1,S2 (n)
[s] ........................... n Subpopulationen (s)
[x] ........................... Vergleichswert x
[g] ........................... |1| Wertebereich ganzzahlig
Usage:
Theta_rQ [sd][min][max][qq][qp][q11][q12][q21][q22][qr1][qr2][qQ][v][m][n][s] [[x]] [[g]]
[sd] ....................... Seed: |0| Zeitwert
[min] ....................... R Minimalwert
[max] ....................... R Maximalwert
[qq] ....................... Theta-Theta/
[qp] ....................... Theta P/
[q11][q12] .................. Theta S11, S12/
[q21][q22] .................. Theta S21, S22:
|0| Harmonisches Mittel (HM)
|1| Arithmetisches Mittel (AM)
|2| Summe (SUM)
|3| Standardabweichung (SD)
|4| Populationsvarianzschaetzung (VAR)
|5| Produktsumme(PSM)
|6| Geometrisches Mittel(GM)
|7| Schrausser's d (D)
|8| DvarO (DV)
[qr1][qr2] ...................Theta Regressionen 1,2/
|1| Korrelation (kor)
|2| Kovarianz (cov)
|3| Determinatinskoeffizient (det)
|4| Redundanz (red)
[qQ] ....................... Theta Q:
|1| Differenz (Diff)
|2| Quotient (Quot)
|3| Summe (Summ)
|4| Produkt (Prod)
[v] ....................... n zu Theta P (v)
[m] ....................... n zu Theta S11,S12 (m)
[n] ....................... n zu Theta S21,S22 (n)
[s] ....................... n Subpopulationen (s)
[x] ....................... Vergleichswert x
[g] ....................... |1| Wertebereich ganzzahlig
Usage:
Theta_S [sd] [min] [max] [qq] [qp] [qs] [v] [m] [s] [[x]] [[g]]
[sd] ...................... Seed: |0| Zeitwert
[min] ...................... R Minimalwert
[max] ...................... R Maximalwert
[qq] ...................... Theta-Theta:
[qp] ...................... Theta P/
[qs] ...................... Theta S/
|0| Harmonisches Mittel (HM)
|1| Arithmetisches Mittel (AM)
|2| Summe (SUM)
|3| Standardabweichung (SD)
|4| Populationsvarianzschaetzung (VAR)
|5| Produktsumme(PSM)
|6| Geometrisches Mittel(GM)
|7| Schrausser's d (D)
|8| DvarO (DV)
[v] ..................... n zu Theta P (v)
[m] ..................... n zu Theta S (m)
[s] ..................... n Subpopulationen (s)
[x] ..................... Vergleichswert x
[g] ..................... |1| Wertebereich ganzzahlig
Usage:
Verteilungsform [min] [max] [n] [s] [min] ....................... Minimalwert [max] ....................... Maximalwert [n] .......... n zu Kennwert Theta=sum(x) [s] ................... n Subpopulationen
Usage:
Verteilungsform_2u [min] [max] [q] [n1] [n2] [s] [xd] [g]
[min] ............... Minimalwert
[max] ............... Maximalwert
[q] ................. Theta:
|0|................. Harmonisches Mittel
|1|................. Arithmetisches Mittel
|2|................. Summe
|3|................. Standardabweichung
|4|................. Populationsvarianzschätzung
|5|................. Produktsumme
|6|................. Geometrisches Mittel
|7|................. Schrausser's d
|8|................. DvarO
[n] ................. n1 zu Theta
[n] ................. n2 zu Theta
[s] ................. n Subpopulationen
[xd] ................ Vergleichsdifferenzwert
[g] ................. |1| Wertebereich ganzzahlig
Usage:
Verteilungsform_kor [min] [max] [q] [n] [s] [[x]] [[g]]
[min] ............... Minimalwert
[max] ............... Maximalwert
[q] ................. Theta:
|1|................. Produktmoment Korrelation
|2|................. Kovarianz
|3|................. Determinationskoeffizient
|4|................. Redundanz
|5|................. Regressionskoeffizient ayx
|6|................. Regressionskoeffizient byx
|7|................. Regressionskoeffizient axy
|8|................. Regressionskoeffizient bxy
[n] .................. n zu Theta
[s] .................. n Subpopulationen
[x] .................. Vergleichswert
[g] .................. |1| Wertebereich ganzzahlig
Schrausser, D. G. (2009). ThetaWin: Overview. https://www.academia.edu/81800920
———. (2023a). Schrausser/FunktionWin: Windows Interface for distribution functions (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7651661
———. (2023b). Schrausser/ThetaWin: Distribution simulator (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7659264
———. (2024). Handbook: Distribution Functions (Verteilungs Funktionen). PsyArXiv. https://doi.org/10.31234/osf.io/rvzxa
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