@@ -35,6 +35,7 @@ define([
3535import :'from scipy import stats' ,
3636code :'_rv = stats.binom(${n}${p})' ,
3737description :'A binomial discrete random variable.' ,
38+ help :'_vp_stats.binom' ,
3839options :[
3940{ name :'n' , component :[ 'input_number' ] , value :10 , required :true , usePair :true } ,
4041{ name :'p' , component :[ 'input_number' ] , value :0.6 , required :true , usePair :true } ,
@@ -45,6 +46,7 @@ define([
4546import :'from scipy import stats' ,
4647code :'_rv = stats.multinomial(${n}${p})' ,
4748description :'A multinomial random variable.' ,
49+ help :'_vp_stats.multinomial' ,
4850options :[
4951{ name :'n' , component :[ 'input_number' ] , value :10 , required :true , usePair :true } ,
5052{ name :'p' , component :[ 'data_select' ] , value :'[0.4, 0.6]' , required :true , usePair :true } ,
@@ -56,6 +58,7 @@ define([
5658import :'from scipy import stats' ,
5759code :'_rv = stats.uniform()' ,
5860description :'A uniform continuous random variable.' ,
61+ help :'_vp_stats.uniform' ,
5962options :[
6063]
6164} ,
@@ -64,6 +67,7 @@ define([
6467import :'from scipy import stats' ,
6568code :'_rv = stats.norm(${loc}${scale})' ,
6669description :'A normal continuous random variable.' ,
70+ help :'_vp_stats.norm' ,
6771options :[
6872{ name :'loc' , component :[ 'input_number' ] , value :0 , usePair :true } ,
6973{ name :'scale' , component :[ 'input_number' ] , value :1 , usePair :true } ,
@@ -74,6 +78,7 @@ define([
7478import :'from scipy import stats' ,
7579code :'_rv = stats.beta(${a}${b})' ,
7680description :'A beta continuous random variable.' ,
81+ help :'_vp_stats.beta' ,
7782options :[
7883{ name :'a' , component :[ 'input_number' ] , required :true , usePair :true } ,
7984{ name :'b' , component :[ 'input_number' ] , required :true , usePair :true } ,
@@ -84,6 +89,7 @@ define([
8489import :'from scipy import stats' ,
8590code :'_rv = stats.gamma(${a})' ,
8691description :'A gamma continuous random variable.' ,
92+ help :'_vp_stats.gamma' ,
8793options :[
8894{ name :'a' , component :[ 'input_number' ] , required :true , usePair :true } ,
8995]
@@ -93,6 +99,7 @@ define([
9399import :'from scipy import stats' ,
94100code :'_rv = stats.t(${df})' ,
95101description :"A Student's t continuous random variable." ,
102+ help :'_vp_stats.t' ,
96103options :[
97104{ name :'df' , component :[ 'input_number' ] , required :true , usePair :true } ,
98105]
@@ -102,6 +109,7 @@ define([
102109import :'from scipy import stats' ,
103110code :'_rv = stats.chi2(${df})' ,
104111description :'A chi-squared continuous random variable.' ,
112+ help :'_vp_stats.chi2' ,
105113options :[
106114{ name :'df' , component :[ 'input_number' ] , required :true , usePair :true } ,
107115]
@@ -111,6 +119,7 @@ define([
111119import :'from scipy import stats' ,
112120code :'_rv = stats.f(${dfn}${dfd})' ,
113121description :'An F continuous random variable.' ,
122+ help :'_vp_stats.f' ,
114123options :[
115124{ name :'dfn' , component :[ 'input_number' ] , required :true , usePair :true } ,
116125{ name :'dfd' , component :[ 'input_number' ] , required :true , usePair :true } ,
@@ -121,8 +130,9 @@ define([
121130import :'from scipy import stats' ,
122131code :'_rv = stats.dirichlet(${alpha}${seed})' ,
123132description :'A Dirichlet random variable.' ,
133+ help :'_vp_stats.dirichlet' ,
124134options :[
125- { name :'alpha' , component :[ 'input_number ' ] , required :true , usePair :true } ,
135+ { name :'alpha' , component :[ 'input ' ] , required :true , usePair :true , value : '(3,5,2)' , placeholder : '(x, y, z)' } ,
126136{ name :'seed' , component :[ 'input_number' ] , usePair :true } ,
127137]
128138} ,
@@ -131,6 +141,7 @@ define([
131141import :'from scipy import stats' ,
132142code :'_rv = stats.multivariate_normal(${mean}${cov}${allow_singular})' ,
133143description :'A multivariate normal random variable.' ,
144+ help :'_vp_stats.multivariate_normal' ,
134145options :[
135146{ name :'mean' , component :[ 'data_select' ] , value :'[0]' , usePair :true } ,
136147{ name :'cov' , component :[ 'data_select' ] , value :'[1]' , usePair :true } ,