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adding data for lab 1
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alpha_spectroscopy/data/.RData
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alpha_spectroscopy/data/.RData
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alpha_spectroscopy/data/.Rhistory
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alpha_spectroscopy/data/.Rhistory
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@ -0,0 +1,512 @@
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help(seq)
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seq(0,8191)
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dim(seq(0,8191)
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0
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dim(radium)
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dim(radium[1])
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(radium[1,1]
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(radium[1,0]
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0
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radium[1,0]
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radium[1,1]
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plot(radium[1,1])
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mean(radium)
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mean(radium[1])
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summary(radium)
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sd(radium)
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radium[1]
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sd(radium[1])
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sd(radium[V1])
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sapply(radium,mean)
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sapply(radium,sd)
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hist(radium)
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sapply(radium,hist)
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x <- seq_along(r)
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x <- seq_along(radium)
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x
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x <- seq_along(radium[V1])
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x <- seq_along(radium[1)
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x <- seq_along(radium[1])
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x
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radiu
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radium
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f <- function(par)
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{
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m <- par[1]
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sd <- par[2]
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k <- par[3]
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yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
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sum((r - rhat)^2)
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}
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optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
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f <- function(par)
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{
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m <- par[1]
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sd <- par[2]
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k <- par[3]
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yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
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sum((radium - rhat)^2)
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}
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optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
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f <- function(par)
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{
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m <- par[1]
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sd <- par[2]
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k <- par[3]
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yhat <- k * exp(-0.5 * ((x - m)/sd)^2)
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sum((radium - yhat)^2)
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}
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optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
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help(unlist)
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help(data)
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data
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data()
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radium
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row
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row.names(radium)
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names(radium)
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help(row)
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Radium <- as.numeric(radium[1,])
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Radium
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Radium <- as.numeric(radium[2,])
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Radium
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Radium <- as.numeric(radium[1,])
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Radium <- as.numeric(radium[1])
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radium[1,
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radium[1,]
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radium[1,]
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radium[1]
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Radium <- as.numeric(radium[1])
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Radium <- as.numeric(radium[1,2])
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Radium
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Radium <- as.numeric(radium[1,1])
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Radium
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radium[1,1]
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radium[2,1]
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radium[2,]
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radium[1,]
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radium[0,]
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radium
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radium["V1"]
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radium["V1sdf"]
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radium["V1"]
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radium[,]
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radium[,1]
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radium[,0]
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radium[,1]
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radium[,2]
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radium[,]
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Radium <- as.numeric(radium[,])
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Radium
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plot(seq(0,8191),Radium)
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plot(seq_along(Radium),Radium)
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plot(radium)
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mean(radium_
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mean(radium)
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sapply(radium,mean)
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skewness
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library(fBasics)
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test=c(5,6,7,8,9)
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test
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test[1:3]=0
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test
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radium[,70:180]
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radium[70:180]
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radium[1,70:180]
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radium[,70:180]
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radium[,]
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radium[,][70:180]
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radium[,1:3]
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radium[,]1:3]
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radium[,][1:3]
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radium[,][90:180]
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radium[,][:180]
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radium[,][90]
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radium[,][70]
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radium[,]
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plot(radium[,])
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radium$V1
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plot(radium$v1)
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plot(radium$V1)
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library("MASS")
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fitdistr(radium,"
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fitdistr(radium,"normal")
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help(fitdistr)
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fitdistr(Radium,"normal")
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hist
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hist(radium)
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hist(Radium)
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hist(Radium,prob=TRUE)
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dput(radium)
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dput(Radium)
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plot(Radium)
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x <- seq_along(radium)
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y <- radium
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f
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f <- function(par)
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m <- par[1]
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sd <- par[2]
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k <- par[3]
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f = function(par)
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{
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m = par[1]
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sd = par[2]
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k = par[3]
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yhat = k * exp(-0.5 * ((x - m)/sd)^2)
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sum((y - yhat)^2)
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}
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optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)
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optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9))
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optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9))
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cal = read.table("AM_calibration_curve")
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cal
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summary(cal)
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help(read.table)
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cal = read.table("AM_calibration_curve",header=TRUE)
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cal
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plot(cal)
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cal$count
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plot(cal$count)
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Cal = cal$count
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Cal
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plot(Cal)
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skewness(Cal)
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f
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g = function(par)
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m = par[1]
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sd = par[2]
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g = function(par)
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m = par[1]
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g = function(par)
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{
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m = par[1]
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sd = par[2]
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k = par[3]
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yhat = k * exp(-0.5 * ((x - m)/sd)^2)
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sum((y - yhat)^2)
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}
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x = Cal
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x = seq_along(Cal)
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x
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y = Cal
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optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9))
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tab = data.frame(x,y)
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plot(tab)
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(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
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tabv
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tab
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(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab))
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red
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res
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summar(res)
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summary(res)
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=5,k=1) , data = tab))
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=3,k=1) , data = tab))
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v <- summary(res)$parameters[,"Estimate"]
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plot(y~x, data=tab)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=200,k=1) , data = tab))
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(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=20,k=1) , data = tab))
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(y~x, data=tab)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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summary(res)
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v <- summary(res)$parameters[,"Estimate"]
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plot(r~x, data=tab)
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plot(y~x, data=tab)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=5,add=T,xlim=range(tab$x) )
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=3,add=T,xlim=range(tab$x) )
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)
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function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)
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v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2))
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function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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help(plot)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type=l)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),l)
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help plot
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help(plot)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type="l")
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
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plot(cal)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l")
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=TRUE)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add="T)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T,xlim=range(tab$x))
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) )
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help(plot_
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help(plot)
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help(plot)
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help(plot)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
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plot(y~x, data=tab)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T)
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plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x))
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plot(y~x, data=tab)
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help(nls)
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gumbel
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library(gumbel)
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help(gumbel)
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??gumbel
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help(maxit)
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library(fitdistrplus)
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library(fitdist)
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fitdist
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50,) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=100) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=1) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7000,beta=1) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=10) , data = tab))
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plot(y~x, data=tab)
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v <- summary(res)$parameters[,"Estimate"]
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plot(function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
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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))
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function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
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(1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2]))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.1) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.15) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.01) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=2) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6800,beta=2) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6900,beta=2) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6950,beta=2) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=2) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=3) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=4) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=14) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=14) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=19) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=10) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7250,beta=10) , data = tab))
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(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=10) , data = tab))
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(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()
|
||||
8201
alpha_spectroscopy/data/4_3.csv
Normal file
8201
alpha_spectroscopy/data/4_3.csv
Normal file
File diff suppressed because it is too large
Load Diff
8200
alpha_spectroscopy/data/5_1_100.csv
Normal file
8200
alpha_spectroscopy/data/5_1_100.csv
Normal file
File diff suppressed because it is too large
Load Diff
8200
alpha_spectroscopy/data/5_1_25.csv
Normal file
8200
alpha_spectroscopy/data/5_1_25.csv
Normal file
File diff suppressed because it is too large
Load Diff
8193
alpha_spectroscopy/data/5_1_50.csv
Normal file
8193
alpha_spectroscopy/data/5_1_50.csv
Normal file
File diff suppressed because it is too large
Load Diff
8200
alpha_spectroscopy/data/5_1_noabsorber.csv
Normal file
8200
alpha_spectroscopy/data/5_1_noabsorber.csv
Normal file
File diff suppressed because it is too large
Load Diff
26
alpha_spectroscopy/data/5_2.csv
Normal file
26
alpha_spectroscopy/data/5_2.csv
Normal file
@ -0,0 +1,26 @@
|
||||
ΔE,Δx (microinch),,fit line,,ΔE/Δx,,lead_density,,,
|
||||
0,0,5,intercept,slope,MeV/microinch,,mg/cm^3,,,
|
||||
-0.29,25,5,-0.002,-0.01173,0,,8908,,,
|
||||
-0.6,50,5,,,-0.0116,,,,,
|
||||
-1.17,100,5,,,-0.012,,,,,
|
||||
,,,,,-0.0117,,,,,
|
||||
,,,,,,,,,,
|
||||
,Δx (cm),,Δx (mg/cm^2),err,ΔE,,,,,
|
||||
0,0,0.0000127,0,0.1131316,0,,,,,
|
||||
-0.29,0.0000635,0.0000127,0.565658,0.1131316,-0.29,,,,,
|
||||
-0.6,0.000127,0.0000127,1.131316,0.1131316,-0.6,,,,,
|
||||
-1.17,0.000254,0.0000127,2.262632,0.1131316,-1.17,,,,,
|
||||
,,,,,,,,,,
|
||||
,,,,,,,,,,
|
||||
,,Vacuum,Hg,Hg,Hg,Hg,Hg,Hg,Hg,millitorr
|
||||
,,mag,0,4,8,12,16,20,23.9,30
|
||||
For gaseous,,err,1,1,1,1,1,1,1,2.5
|
||||
ΔE,err,,0,0,0,0,0,0,0,0
|
||||
3.43,0.1,,,,,,,,,
|
||||
3.83,0.1,,,,,,,,,
|
||||
4.16,0.1,,,,,,,,,
|
||||
4.45,0.1,,,,,,,,,
|
||||
4.75,0.1,,,,,,,,,
|
||||
5.03,0.1,,,,,,,,,
|
||||
5.27,0.1,,,,,,,,,
|
||||
5.53,0.1,,,,,,,,,
|
||||
|
Loading…
Reference in New Issue
Block a user