mirror of
https://asciireactor.com/otho/phy-4660.git
synced 2024-11-24 11:35:07 +00:00
513 lines
18 KiB
R
513 lines
18 KiB
R
help(seq)
|
|
seq(0,8191)
|
|
dim(seq(0,8191)
|
|
0
|
|
dim(radium)
|
|
dim(radium[1])
|
|
(radium[1,1]
|
|
(radium[1,0]
|
|
0
|
|
radium[1,0]
|
|
radium[1,1]
|
|
plot(radium[1,1])
|
|
mean(radium)
|
|
mean(radium[1])
|
|
summary(radium)
|
|
sd(radium)
|
|
radium[1]
|
|
sd(radium[1])
|
|
sd(radium[V1])
|
|
sapply(radium,mean)
|
|
sapply(radium,sd)
|
|
hist(radium)
|
|
sapply(radium,hist)
|
|
x <- seq_along(r)
|
|
x <- seq_along(radium)
|
|
x
|
|
x <- seq_along(radium[V1])
|
|
x <- seq_along(radium[1)
|
|
x <- seq_along(radium[1])
|
|
x
|
|
radiu
|
|
radium
|
|
f <- function(par)
|
|
{
|
|
m <- par[1]
|
|
sd <- par[2]
|
|
k <- par[3]
|
|
yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
|
|
sum((r - rhat)^2)
|
|
}
|
|
optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
|
|
f <- function(par)
|
|
{
|
|
m <- par[1]
|
|
sd <- par[2]
|
|
k <- par[3]
|
|
yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
|
|
sum((radium - rhat)^2)
|
|
}
|
|
optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
|
|
f <- function(par)
|
|
{
|
|
m <- par[1]
|
|
sd <- par[2]
|
|
k <- par[3]
|
|
yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
|
|
sum((radium - yhat)^2)
|
|
}
|
|
optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
|
|
help(unlist)
|
|
help(data)
|
|
data
|
|
data()
|
|
radium
|
|
row
|
|
row.names(radium)
|
|
names(radium)
|
|
help(row)
|
|
Radium <- as.numeric(radium[1,])
|
|
Radium
|
|
Radium <- as.numeric(radium[2,])
|
|
Radium
|
|
Radium <- as.numeric(radium[1,])
|
|
Radium <- as.numeric(radium[1])
|
|
radium[1,
|
|
radium[1,]
|
|
radium[1,]
|
|
radium[1]
|
|
Radium <- as.numeric(radium[1])
|
|
Radium <- as.numeric(radium[1,2])
|
|
Radium
|
|
Radium <- as.numeric(radium[1,1])
|
|
Radium
|
|
radium[1,1]
|
|
radium[2,1]
|
|
radium[2,]
|
|
radium[1,]
|
|
radium[0,]
|
|
radium
|
|
radium["V1"]
|
|
radium["V1sdf"]
|
|
radium["V1"]
|
|
radium[,]
|
|
radium[,1]
|
|
radium[,0]
|
|
radium[,1]
|
|
radium[,2]
|
|
radium[,]
|
|
Radium <- as.numeric(radium[,])
|
|
Radium
|
|
plot(seq(0,8191),Radium)
|
|
plot(seq_along(Radium),Radium)
|
|
plot(radium)
|
|
mean(radium_
|
|
mean(radium)
|
|
sapply(radium,mean)
|
|
skewness
|
|
library(fBasics)
|
|
test=c(5,6,7,8,9)
|
|
test
|
|
test[1:3]=0
|
|
test
|
|
radium[,70:180]
|
|
radium[70:180]
|
|
radium[1,70:180]
|
|
radium[,70:180]
|
|
radium[,]
|
|
radium[,][70:180]
|
|
radium[,1:3]
|
|
radium[,]1:3]
|
|
radium[,][1:3]
|
|
radium[,][90:180]
|
|
radium[,][:180]
|
|
radium[,][90]
|
|
radium[,][70]
|
|
radium[,]
|
|
plot(radium[,])
|
|
radium$V1
|
|
plot(radium$v1)
|
|
plot(radium$V1)
|
|
library("MASS")
|
|
fitdistr(radium,"
|
|
fitdistr(radium,"normal")
|
|
help(fitdistr)
|
|
fitdistr(Radium,"normal")
|
|
hist
|
|
hist(radium)
|
|
hist(Radium)
|
|
hist(Radium,prob=TRUE)
|
|
dput(radium)
|
|
dput(Radium)
|
|
plot(Radium)
|
|
x <- seq_along(radium)
|
|
y <- radium
|
|
f
|
|
f <- function(par)
|
|
m <- par[1]
|
|
sd <- par[2]
|
|
k <- par[3]
|
|
f = function(par)
|
|
{
|
|
m = par[1]
|
|
sd = par[2]
|
|
k = par[3]
|
|
yhat = k * exp(-0.5 * ((x - m)/sd)^2)
|
|
sum((y - yhat)^2)
|
|
}
|
|
optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)
|
|
optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
|
|
optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9))
|
|
cal = read.table("AM_calibration_curve")
|
|
cal
|
|
summary(cal)
|
|
help(read.table)
|
|
cal = read.table("AM_calibration_curve",header=TRUE)
|
|
cal
|
|
plot(cal)
|
|
cal$count
|
|
plot(cal$count)
|
|
Cal = cal$count
|
|
Cal
|
|
plot(Cal)
|
|
skewness(Cal)
|
|
f
|
|
g = function(par)
|
|
m = par[1]
|
|
sd = par[2]
|
|
g = function(par)
|
|
m = par[1]
|
|
g = function(par)
|
|
{
|
|
m = par[1]
|
|
sd = par[2]
|
|
k = par[3]
|
|
yhat = k * exp(-0.5 * ((x - m)/sd)^2)
|
|
sum((y - yhat)^2)
|
|
}
|
|
x = Cal
|
|
x = seq_along(Cal)
|
|
x
|
|
y = Cal
|
|
optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9))
|
|
tab = data.frame(x,y)
|
|
plot(tab)
|
|
(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
tabv
|
|
tab
|
|
(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
red
|
|
res
|
|
summar(res)
|
|
summary(res)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=3,k=1) , data = tab))
|
|
v <- summary(res)$parameters[,"Estimate"]
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=200,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=20,k=1) , data = tab))
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
summary(res)
|
|
v <- summary(res)$parameters[,"Estimate"]
|
|
plot(r~x, data=tab)
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=5,add=T,xlim=range(tab$x) )
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=3,add=T,xlim=range(tab$x) )
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)
|
|
function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)
|
|
v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2))
|
|
function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
help(plot)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type=l)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),l)
|
|
help plot
|
|
help(plot)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type="l")
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
|
|
plot(cal)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=TRUE)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add="T)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T,xlim=range(tab$x))
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
help(plot_
|
|
help(plot)
|
|
help(plot)
|
|
help(plot)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
|
|
plot(y~x, data=tab)
|
|
help(nls)
|
|
gumbel
|
|
library(gumbel)
|
|
help(gumbel)
|
|
??gumbel
|
|
help(maxit)
|
|
library(fitdistrplus)
|
|
library(fitdist)
|
|
fitdist
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50,) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=100) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=1) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7000,beta=1) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=10) , data = tab))
|
|
plot(y~x, data=tab)
|
|
v <- summary(res)$parameters[,"Estimate"]
|
|
plot(function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
|
|
plot(function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2])),col=2,add=T,xlim=range(tab$x))
|
|
function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
|
|
(1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.1) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.15) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.01) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=2) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6800,beta=2) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6900,beta=2) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6950,beta=2) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=2) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=3) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=4) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=14) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=14) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=19) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=10) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7250,beta=10) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=10) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=15) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=19) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab))
|
|
(res <- nls( y ~ (1/beta)*exp((-x-alpha)/beta - exp((-x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab))
|
|
library(gumbel)
|
|
help(fitdistr)
|
|
help(fitdistr)
|
|
fitdistr(x,"Gamma")
|
|
fitdistr(x,"gamma")
|
|
fitdistr(y,"gamma")
|
|
fitdistr(y~x,"gamma")
|
|
x
|
|
1
|
|
y
|
|
help(fitdistr)
|
|
x3 <- rweibull(100, shape = 4, scale = 100)
|
|
x3
|
|
fitdistr(y,"gamma")
|
|
fitdistr(y,"weibull"")
|
|
fitdistr(y,"weibull")
|
|
help(fitdistr)
|
|
fitdistr(y,"weibull")
|
|
y
|
|
fitdistr(y,"gamma")
|
|
help(nls)
|
|
help(nls.control)
|
|
tab
|
|
man(nls)
|
|
help(nls)
|
|
y
|
|
help(~)
|
|
help("~")
|
|
help(formula)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , y))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
cal
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
help(nls)
|
|
help(nls.control)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal, control=minFactor(0.0002))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal, control=minFactor(0.0002)))
|
|
help(nls.control)
|
|
help(nls.control)
|
|
nls.control(minFactor=0.0001)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=0.0001))
|
|
help(nls.control)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=1/2048))
|
|
nls.control(minFactor=0.0001)
|
|
nls.control
|
|
1/1024
|
|
nls.control(minFactor=0.0001);
|
|
nls.control(minFactor=0.0001)
|
|
nls.control(minFactor=0.0001) bls
|
|
nls.control(minFactor=0.0001) nls
|
|
nls.control(minFactor=0.0001) nls()
|
|
nls.control(minFactor=0.0001); nls()
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=1/2048))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
nls.control(minFactor=0.0001); (res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
help(nls.control)
|
|
nls.control(minFactor=1/2048)
|
|
nls.control(minFactor=1/4096)
|
|
nls.control(minFactor=0.0001); (res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
nls.control(minFactor=1/4096)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal))
|
|
help(nls)
|
|
help(nls)
|
|
help(nls)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , data = cal))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), cal, start=c(mu=7200,sigma=50,k=1)))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), cal, start=c(mu=7200,sigma=50,k=1),control=list(minFactor=1/4096)))
|
|
v <- summary(res)$parameters[,"Estimate"]
|
|
plot(y~x, data=tab)
|
|
plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
|
|
tab
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=y,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), y,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096)))
|
|
res
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=10)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096)))
|
|
help(nls.control)
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096,maxiter=100)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096,maxiter=200)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=y,start=c(alpha=7200,beta=1),control=list(minFactor=1/8192,maxiter=1000)))
|
|
cal
|
|
y
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/8192,maxiter=1000)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/16384,maxiter=1000)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/50000,maxiter=1000)))
|
|
(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7800,beta=1),control=list(minFactor=1/50000,maxiter=1000)))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab)))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab)
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab))
|
|
(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7800,sigma=50,k=1) , data = tab))
|
|
help(write)
|
|
v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)
|
|
write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian")
|
|
help(write)
|
|
write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian".ncolumns=1)
|
|
write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian",ncolumns=1)
|
|
plot(cal)
|
|
plot(x)
|
|
plot(y)
|
|
help(plot)
|
|
plot(y,xlab="channel")
|
|
plot(y,xlab="Channel")
|
|
plot(y,xlab="Channel",ylab="Count")
|
|
help(plot)
|
|
help(axis)
|
|
axis(1,labels=FALSe)
|
|
axis(1,labels=FALSE)
|
|
axis(1,labels=FALSE)
|
|
axis(1,labels=TRUE)
|
|
axis(2)
|
|
box()
|
|
rnorm
|
|
require(stats)
|
|
rnorm
|
|
plot(1:4,rnorm(4),axes=FALSe)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(1:4,rnorm(4),axes=FALSE)
|
|
plot(y,xlab="Channel",ylab="Count")
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2))
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=red)
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2)
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2)
|
|
plot(y,xlab="Channel",ylab="Count")
|
|
plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2)
|
|
plot(y,xlab="Channel",ylab="Count")
|
|
points(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2)
|
|
undo
|
|
undo()
|
|
cancel()
|
|
plot(y,xlab="Channel",ylab="Count")
|
|
help(lines)
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2)
|
|
help(points)
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2)
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4)
|
|
plot(y,xlab="Channel",ylab="Count",lwd=1)
|
|
plot(y,xlab="Channel",ylab="Count",lwd=.5)
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2)
|
|
man(hist)
|
|
help(hist)
|
|
hist(x)
|
|
hist(y)
|
|
help(hist)
|
|
help(hist,freq=TRUE)
|
|
hist(y,freq=TRUE)
|
|
hist(y)
|
|
hist(y,freq=TRUE)
|
|
help(hist,freq=TRUE)
|
|
help(hist)
|
|
hist(x~y,freq=TRUE)
|
|
hist(x~y)
|
|
x
|
|
y
|
|
hist(cal)
|
|
hist(x)
|
|
axis
|
|
help(axis)
|
|
axis(ylim=c(0,1000))
|
|
axis(list(ylim=c(0,1000)))
|
|
help(axis)
|
|
hist(x,ylim=c(0,1000))
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4,pch="x")
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4,pch="-")
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─")
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2)
|
|
abline(v = 7913.63,col=3)
|
|
abline(v = 7913.63,col=2)
|
|
abline(v = 7913.63,col=1)
|
|
abline(v = 7913.63,col=4)
|
|
abline(v = 7913.63,col=5)
|
|
abline(v = 7913.63,col=4,lwd=2)
|
|
abline(v = 7813.63,col=4,lwd=2)
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─")
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2)
|
|
plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─")
|
|
lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2)
|
|
abline(v = 7813.63,col=4,lwd=2)
|
|
dev.print(pdf,'calibration.pdf')
|
|
q()
|