View source: R/Equitable_Transform.R
eg8 | R Documentation |
f(x) , g(t) amd u(x) are samopled from normal random distributions. g is then ordered from lowest to highest Good for simulating equitable phenology systems
eg8( rmult, cmult, mf = 5, mg = 1, mu = 5, sdf = 2, sdg = 1, sdu = 3, seedf = FALSE, seedg = TRUE, seedu = FALSE )
rmult |
resolution of sampling of t variable rmult*15 is the number of points sampled |
cmult |
resolution of sampling of x variable cmult*10 is the number of points sampled |
mf |
10 (default) mean of f(x) |
mg |
0 (default) mean of g(x) |
mu |
10 (default) mean of u(x) |
sdf |
0.75 (default) standard deviation of f(x) |
sdg |
1 (default) standard deviation of g(x) |
sdu |
0.2 (default) standard deviation of u(x) |
f(x) random normal distribution with mean mf and standard deviation sdf u(x) random normal distribution with mean mu and standard deviation sdu g(x) random normal distribution with mean mg and standard deviation sdg
matrix of equitable data
d<-eg8(rmult=4,cmult=4) # 60x40 data set #transform this data set and then show bagplot intersetions Td<-transformE(d=d) aa<-a_b_bagplot(Td=Td,xlim=c(-0.25,0.25),ylim=c(-5,5)) d<-eg8(3,3) # 45x30 data set d<-eg8(1,10) # 15x100 data set d<-eg8(10,1) # 150x10 data set d<-eg8(15,15) # 150x100 data set
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