Hi, I would like help from knowledgeble mai-listers in pspline matter.I just a beginner. I have the following pspline program and I get strange (for me) results like :17.172881859251717.17297751018117.173073161111917.173168812047817.173264462992617.1733601139499for all file. The file have?20234 data and keep 20234 data after processing by pspline. library(sm) library(pspline) #Importing the dataset and converting into a matrix form#hist.df <- read.table('b1_27.txt', header=FALSE,col.names=c("A"), dec=".") hist.df <- read.table("C:\\Users\\.....\\Desktop\\Pspline\\b1_27.txt", header=FALSE,col.names=c("A"), dec=".") data <- as.matrix(hist.df$A,ncol=1) #Getting a non-decreasing predictor variablex = c(1:20234) #Fitting the pspline function, note that it will be a normal smoothing with order=2 and df = 4, method = 2 means degrees = df res = smooth.Pspline(x,data,norder = 2,df=4,method=2)res #Plotting the normal plot for the fitted values sm.density(res$ysmth,model="normal") setwd("C:\\Users\\....\\Desktop\\Pspline") #writing the output into a tablewrite.table(res$ysmth, file = "b1_27_psp.txt", col.names = F,quote=F,row.names=F) Thank you for your help. -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: b1_27.txt URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20190911/f3891148/attachment.txt>