varin sacha
2015-Feb-19 16:36 UTC
[R] Density plots for Chi-square and F-distribution on my data
Dear R-helpers, I want to compute the density plot (probability plot) of the Chi-square distribution. My 2 categorical variables are gender (male, female) and colors of the eyes (blue, green and brown). The sample size n = 100. The proportions are the following : male and blue eyes : 10% male and green eyes : 20% male and brown eyes : 22% female and blue eyes : 20% female and green eyes : 13% female and brown eyes : 15% There are k-1 df = 6-1= 5 I don't know how to take into consideration the percents here above in my R code here below ? x <- rchisq(100, 5) hist(x, prob=TRUE) curve( dchisq(x, df=5), col='red', add=TRUE) Second point, I want to do the same, to compute the density plot, but this time for the Fisher distribution. My categorical variable is gender again (male, female) My numerical variable is the mark in Mathematics test (3; 4; 5; 5.5) The proportions are the following : male and 3 : 10% male and 4 : 15% male and 5 : 10% male and 5.5 : 15% female and 3 : 12% female and 4: 0% female and 5 : 25% female and 5.5 : 13% There are df1=2-1= 1 and df2=8-2= 6 Again, I don't know how to take into consideration the percents here above in my R code here below ? df(100, 1, 6, log = FALSE) x <- rf(100, 1, 6) hist(x, prob=TRUE) curve( df(x,1,6), col='red', add=TRUE) Best, Thanks for your help.
Bert Gunter
2015-Feb-19 16:51 UTC
[R] Density plots for Chi-square and F-distribution on my data
I think you might do well to consult a local statistical expert, as you appear to be out of your statistical depth here. Also, is this homework? If so, this is not a homework site (although posters sometimes get help anyway). Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Thu, Feb 19, 2015 at 8:36 AM, varin sacha <varinsacha at yahoo.fr> wrote:> Dear R-helpers, > > I want to compute the density plot (probability plot) of the Chi-square distribution. > My 2 categorical variables are gender (male, female) and colors of the eyes (blue, green and brown). > > The sample size n = 100. The proportions are the following : > > male and blue eyes : 10% > male and green eyes : 20% > male and brown eyes : 22% > female and blue eyes : 20% > female and green eyes : 13% > female and brown eyes : 15% > > There are k-1 df = 6-1= 5 > > I don't know how to take into consideration the percents here above in my R code here below ? > > x <- rchisq(100, 5) > hist(x, prob=TRUE) > curve( dchisq(x, df=5), col='red', add=TRUE) > > > Second point, I want to do the same, to compute the density plot, but this time for the Fisher distribution. > My categorical variable is gender again (male, female) > My numerical variable is the mark in Mathematics test (3; 4; 5; 5.5) > The proportions are the following : > male and 3 : 10% > male and 4 : 15% > male and 5 : 10% > male and 5.5 : 15% > female and 3 : 12% > female and 4: 0% > female and 5 : 25% > female and 5.5 : 13% > > There are df1=2-1= 1 and df2=8-2= 6 > > Again, I don't know how to take into consideration the percents here above in my R code here below ? > > > df(100, 1, 6, log = FALSE) > x <- rf(100, 1, 6) > hist(x, prob=TRUE) > curve( df(x,1,6), col='red', add=TRUE) > > Best, > Thanks for your help. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
varin sacha
2015-Feb-19 17:16 UTC
[R] Density plots for Chi-square and F-distribution on my data
Arg, just been caught ! No, just joking, it is a long time I don't have homework anymore. I keep on giving myself homeworks life long yes this is true. Anyways thanks for your response. Best, ----- Mail original ----- De : Bert Gunter <gunter.berton at gene.com> ? : varin sacha <varinsacha at yahoo.fr> Cc : "r-help at r-project.org" <r-help at r-project.org> Envoy? le : Jeudi 19 f?vrier 2015 17h51 Objet : Re: [R] Density plots for Chi-square and F-distribution on my data I think you might do well to consult a local statistical expert, as you appear to be out of your statistical depth here. Also, is this homework? If so, this is not a homework site (although posters sometimes get help anyway). Cheers, Bert Bert Gunter Genentech Nonclinical Biostatistics (650) 467-7374 "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." Clifford Stoll On Thu, Feb 19, 2015 at 8:36 AM, varin sacha <varinsacha at yahoo.fr> wrote:> Dear R-helpers, > > I want to compute the density plot (probability plot) of the Chi-square distribution. > My 2 categorical variables are gender (male, female) and colors of the eyes (blue, green and brown). > > The sample size n = 100. The proportions are the following : > > male and blue eyes : 10% > male and green eyes : 20% > male and brown eyes : 22% > female and blue eyes : 20% > female and green eyes : 13% > female and brown eyes : 15% > > There are k-1 df = 6-1= 5 > > I don't know how to take into consideration the percents here above in my R code here below ? > > x <- rchisq(100, 5) > hist(x, prob=TRUE) > curve( dchisq(x, df=5), col='red', add=TRUE) > > > Second point, I want to do the same, to compute the density plot, but this time for the Fisher distribution. > My categorical variable is gender again (male, female) > My numerical variable is the mark in Mathematics test (3; 4; 5; 5.5) > The proportions are the following : > male and 3 : 10% > male and 4 : 15% > male and 5 : 10% > male and 5.5 : 15% > female and 3 : 12% > female and 4: 0% > female and 5 : 25% > female and 5.5 : 13% > > There are df1=2-1= 1 and df2=8-2= 6 > > Again, I don't know how to take into consideration the percents here above in my R code here below ? > > > df(100, 1, 6, log = FALSE) > x <- rf(100, 1, 6) > hist(x, prob=TRUE) > curve( df(x,1,6), col='red', add=TRUE) > > Best, > Thanks for your help. > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.