# RProject8_4_density.r
require(graphics)
set.seed(0)
x=ifelse(runif(100)<.5, rnorm(100) +5,rnorm(100))
# x=ifelse(runif(100)<.5, rgamma(100,shape=3,scale=2),rnorm(100))
# x=ifelse(runif(100)<.5, (rnorm(100) +5)^2,(rnorm(100)^2))
par(mfcol=c(2,2))
x.density1<-density(x,bw="sj")
hist(x,nclass=50,probability=TRUE,
main=paste("Density Estimate (bw='sj')",
"\nN = ", as.character(length(x))," Bandwidth=", as.character(round(x.density1$bw,digits=3)),
collapse=""))
lines(x.density1$x, x.density1$y, col="green")
rug(x)
x.density1<-density(x,bw="nrd0")
hist(x,nclass=50,probability=TRUE,
main=paste("Density Estimate (bw='nrd0')",
"\nN = ", as.character(length(x))," Bandwidth=", as.character(round(x.density1$bw,digits=3)),
collapse=""))
lines(x.density1$x, x.density1$y, col="green")
rug(x)
x.density1<-density(x,bw="nrd0",adjust=.2)
hist(x,nclass=50,probability=TRUE,
main=paste("Density Estimate (bw='nrd0 x .2')",
"\nN = ", as.character(length(x))," Bandwidth=", as.character(round(x.density1$bw,digits=3)),
collapse=""))
lines(x.density1$x, x.density1$y, col="green")
rug(x)
x.density1<-density(x,bw="nrd0",adjust=4.)
hist(x,nclass=50,probability=TRUE,
main=paste("Density Estimate (bw='nrd0 x 4')",
"\nN = ", as.character(length(x))," Bandwidth=", as.character(round(x.density1$bw,digits=3)),
collapse=""))
lines(x.density1$x, x.density1$y, col="green")
rug(x)
![](data:image/png;base64,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)
### Alternate Kernels:
par(mfcol=c(1,1))
(kernels <- eval(formals(density.default)$kernel))
## [1] "gaussian" "epanechnikov" "rectangular" "triangular"
## [5] "biweight" "cosine" "optcosine"
## show the kernels in the R parametrization
plot (density(0, bw = 1), xlab = "",
main = "R's density() kernels with bw = 1")
for(i in 2:length(kernels))
lines(density(0, bw = 1, kernel = kernels[i]), col = i)
legend(1.5,.4, legend = kernels, col = seq(kernels),
lty = 1, cex = .8, y.intersp = 1)
![](data:image/png;base64,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)
#
stem(x)
##
## The decimal point is at the |
##
## -2 | 9
## -0 | 5411109977665543311110
## 0 | 0002235678990123455789
## 2 | 02436788999
## 4 | 011112222456666789000011112233456777
## 6 | 13335664
args(stem)
## function (x, scale = 1, width = 80, atom = 1e-08)
## NULL
#help(stem)
stem(x,scale=2)
##
## The decimal point is at the |
##
## -2 | 9
## -1 | 541110
## -0 | 9977665543311110
## 0 | 000223567899
## 1 | 0123455789
## 2 | 024
## 3 | 36788999
## 4 | 011112222456666789
## 5 | 000011112233456777
## 6 | 1333566
## 7 | 4
stem(x,scale=3)
##
## The decimal point is at the |
##
## -2 | 9
## -2 |
## -1 | 5
## -1 | 41110
## -0 | 99776655
## -0 | 43311110
## 0 | 000223
## 0 | 567899
## 1 | 01234
## 1 | 55789
## 2 | 024
## 2 |
## 3 | 3
## 3 | 6788999
## 4 | 0111122224
## 4 | 56666789
## 5 | 0000111122334
## 5 | 56777
## 6 | 1333
## 6 | 566
## 7 | 4
boxplot(x)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAAAQlBMVEUAAAAAADoAAGYAOpAAZrY6AAA6kNtmAABmtv+QOgCQ29uQ2/+2ZgC2/7a2///bkDrb////tmb/25D//7b//9v////WCXkuAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAXrklEQVR4nO3d7VaU57KG0daoMSvsED84/1PdNKDifjTr6duq3fWSOf8gjAHDUVVc6cbWnO4AiJyu/RsAOCoBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBIQAFCAgoQElCAkIAChAQUICSgACEBBQgJKEBodkBPAGXqE1X+FQtde9rAy1LeqOovWKnhPxjAv5aAAoQEFCAkoAAhAQUICShASEABQgIKEBJQgJCAAoQEFCAkoAAhAQUICShASEABQgIKEBJQgJCAAoQEFCAkoAAhAeVgrv0/ESt17WHyiwSUY7l28mpde5r8IgGFlUNhi4DCyqGwRUBh5VDYIqCwcihsEVBYORS2CCisHApbBBRWDoUtAgorh8IWAQUICShASEABQgIKEBJQgJCAAoQEFCAkoLByKGwRUFg5FLYIKKwcClsEFFYOhS0CCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQgJCAAoQEFCAkoAAhAQUICShASEABQgIKK4fCFgGFlUNhi4DCyqGwRUBh5VDYIqCwcihsEVBYORS2CCisHApbBBRWDoUtAgorh8IWAQUICShASEABQgIKEBJQgJCAAoQEFCAkoLByKGwRUFg5FLYIKKwcClsEFFYOhS0CCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQgJCAAoQEFCAkoAAhAQUICShASEABQgIKK4fCFgGFlUNhi4DCyqGwRUBh5VDYIqCwcihsEVBYORS2CCisHApbDhbQT7+//uvhF7ene6/+vPTzfV+wxaGw5VgBvTmdHgL64fTkKafbfF+wxaGw5VABvXl61Pm1nxc/CPV9AdQ5UkA/vj2d3tydn8c/PfT8/Melj0EFFKhzpIDePwB9f357+9jRs/vHou8u+RICCtQ5UEDvH2++eXr77WHnzem3vy/4GgIK1DlQQO+fub9/evstmreXPYcXUKDOMQP65usHP/xTQE8/0PW7A/59DhTQ+6fu757eCigwwIECenfzFM6b757C+xko9RwKW44U0A9Pr/r8+Pbxufzdt0elu3xfsMWhsOVIAT2/7PPhMei3Pzm6ufCV9L4v2OJQ2HKkgD68kv7hKftTN89/I+miB6C+L9jjUNhyqIA+FvQ7b/77Jz3n+4ItDoUtxwro41+Hf+b9f/+M7/i+YItDYcvRAvr4N+EfXfTn7498X7DFobDleAH9Jb4v2OJQ2CKgsHIobBFQgJCAAoQEFCAkoAAhAQUICShASEABQgIKK4fCFgGFlUNhi4DCyqGwRUBh5VDYIqCwcihsEVBYORS2CCisHApbBBRWDoUtAgorh8IWAQUICShASEABQgIKEBJQgJCAAoQEFCAkoLByKGwRUFg5FLYIKKwcClsEFFYOhS0CCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQgJCAAoQEFCAkoAAhAQUICShASEABQgIKK4fCFgGFlUNhi4DCyqGwRUBh5VDYIqBUOTHUtS/jBRNQily7EvzctW/j5RJQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbTR0ApYrZT2UwfAaWI2U5lM30ElCJmO5XN9BFQipjtVDbT57gB/fT76d3Fn+SU+pjtVDbTR0ApYrZT2UwfAaWI2U5lM30OFND7Yv7I678u+c05pTZmO5XN9BFQipjtVDbT50ABvfsgoJOZ7VQ20+dIAX14DPrb39/e8TPQScx2Kpvpc6iA3t3dnE6v/nz85UZAf/SAtfN39+9mtlPZTJ+DBfTu49vTUzcFdBizncpm+hwtoHef/3h6Gu8p/DBmO5XN9DlcQO/ubu8fR74X0HHMdiqb6XPAgD48jX8joNOY7VQ20+eIAX14Gv/6fwR0FrOdymb6HDKgj0/jTwI6itlOZTN9DhrQh6fxAjqK2U5lM32OGtCHl4QK6CRmO5XN9DluQCNOqY/ZTmUzfQSUImY7lc30EVCKmO1UNtNHQClitlPZTB8BpYjZTmUzfQSUImY7lc30EVCKmO1UNtNHQClitlPZTB8BpcgP/4crjHDt23i5BJQi144EP3ft23i5BJQi144EP3ft23i5BJQi144EP3ft23i5BJQi144EP3ft23i5BJQi144EP3ft23i5BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9BJQiZjuVzfQRUIqY7VQ200dAKWK2U9lMHwGliNlOZTN9DhbQj29Pp9Nvf399//Mfp9d/XfD5TqmP2U5lM32OFdCb06M3Xz4goHOY7VQ20+dQAf3Sz28PQgV0DrOdymb6HCmg5+fv7+/f3n4rqIDOYbZT2UyfIwX05vTqz4df3GfzqaACOofZTmUzfQ4U0PtYfv3Z581TQQV0DrOdymb6HCign35/eAL/6Kmg/xzQ0w90/e4w26lsps9RA3ou6BsBncRsp7KZPocN6PnnoO88hR/EbKeymT4HCujzn4E+vnt6L6BzmO1UNtPnQAE9v3zp2UPQ86uaXv1HQMcw26lsps+RAnp+Hei7Z+9/ePihpoAOYbZT2UyfIwX04RX0z5/GfxDQQcx2Kpvpc6iAPhT0+WPQ82NSAR3CbKeymT7HCuj5T47effeBWwGdwmynspk+Bwvor3JKfcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+ggoRcx2KpvpI6AUMdupbKaPgFLEbKeymT4CShGzncpm+hwvoDenL95c/slOqY/ZTmUzfQ4W0NvT9y5tqFPqY7ZT2UyfQwX049vT//X6r4u+glPqY7ZT2UyfIwX08x/fF/PT7/fv//b3JV/CKfUx26lsps+RAvphyeU5qe8v+RJOqY/ZTmUzfY4U0Jv1Cfv9g9CLfgzqlPosP15hjGvfxst1oIDeP9x8t3zw9rLn8E6pz7Ujwc9d+zZergMF9P7R5vp0/cM//TGSUwI6CShA6EAB9RQemOVAAfWHSMAsRwroj1/GtD4q/QcCCtQ5UkB/+EL6y/4qkoACdY4U0Mdifu/Vnxd9BQEF6hwqoM//KaZH/jERWjgUthwsoHf+OTv+PzgUthwvoL/E9wVbHApbBBRWDoUtAgorh8IWAYWVQ2GLgMLKobBFQGHlUNgioLByKGwRUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQWDkUtggorBwKWwQUVg6FLQIKK4fCFgEFCAkoQEhAAUICChASUICQgAKEBBQgJKCwcihsEVBYORS2CCisHApbBBRWDoUtAgorh8IWAYWVQ2GLgMLKobBFQGHlUNgioLByKGwRUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQWDkUtggorBwKWwQUVg6FLQIKK4fCFgEFCAkoQEhAAUICChASUICQgAKEBBQgJKCwcihsEVBYORS2CCisHApbBBRWDoUtAgorh8IWAYWVQ2GLgMLKobBFQGHlUNgioLByKGwRUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICCiuHwhYBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQWDkUtggorBwKWwQUVg6FLQIKK4fCFgEFCAkoQOhgAf349nQ6/fb31/c//3F6/dcFny+gQJ1jBfTm9OjNlw8IKHA9hwrol35+exAqoMD1HCmg5+fv7+/f3n4rqIAC13OkgN6cXv358Iv7bD4VVECB6zlQQO9j+fVnnzdPBRVQWjgUthwooJ9+f3gC/+ipoAJKC4fClqMG9FzQNwJKE4fClsMG9Pxz0HcCSg+HwpYDBfT5z0Af3z29F1BaOBS2HCig55cvPXsIen5V06v/CCgdHApbjhTQ8+tA3z17/8PDa+r/IaCnH2j73fGSOBS2HCmgD6+gf/40/oOA0sOhsOVQAX0o6PPHoOfHpJ7CU8+hsOVYAT3/ydG77z5wK6DAtRwsoL9KQIE6AgoQOmxAb7/8yyIXEVCgjoAChAQUICSgACEBhZVDYYuAwsqhsEVAYeVQ2CKgsHIobBFQWDkUthw2oBnfF2xxKGwRUFg5FLYIKKwcClsEFFYOhS0CChASUICQgAKEBBQgJKAAIQEFCAkoQEhAYeVQ2CKgsHIobBFQWDkUtggorBwKWwQUVg6FLQIKK4fCFgGFlUNhi4DCyqGwRUBh5VDYIqAAIQEFCAkoQEhAAUICChASUICQgAKEBBRWDoUtAgorh8IWAYWVQ2GLgMLKobBFQGHlUNgioLByKGwRUFg5FLYIKAdzekmuPUx+kYByLNdOXq1rT5NfJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChD61wUUoE55o6q/YKVrDxt4WcobVf0FAf4tBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAIQEFCAkoQEhAAUICChASUICQgAKEBBQgJKAAof8FrbID11u0jioAAAAASUVORK5CYII=)