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I found it easy to use R when typing data manually into it. Now I need to read data from a file, and I get the following errors: > refdata = > read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv", header > = TRUE) Error in scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : line 1 did not have 42 elements > refdata = > read.table("K:\\MerchantData\\RiskModel\\refund_distribution.csv") Error in scan(file, what,...

Here is my little scriptlet: optdata = read.csv("K:\\MerchantData\\RiskModel\\AutomatedRiskModel\\soptions.dat", header = FALSE, na.strings="") attach(optdata) library(MASS) setwd("K:\\MerchantData\\RiskModel\\AutomatedRiskModel") for (i in 1:length(V4) ) { x = read.csv(as.character(V4[[i]]), header = FALSE, na.strings="");...

Here is what I tried: optdata = read.csv("K:\\MerchantData\\RiskModel\\AutomatedRiskModel\\soptions.dat", header = FALSE, na.strings="") optdata attach(optdata) for (i in 1:length(V4) ) { x = read.csv(V4[[i]], header = FALSE, na.strings="");x } And here is the outcome (just a few of the 60 records successfully read): > optdata...

I have a number of files containing anywhere from a few dozen to a few thousand integers, one per record. The statement "refdata18 = read.csv("K:\\MerchantData\\RiskModel\\Capture.Week.18.csv", header = TRUE,na.strings="")" works fine, and if I type refdata18, I get the integers displayed, one value per record (along with a record number). However, when I try " fitdistr(refdata18,"negative binomial")", or hist.scot...

...x, doplot = doplot, title = title, description = description) Model: Student-t Distribution Estimated Parameter(s): alpha beta gamma delta 1.5340000 0.2750000 0.3211991 -0.9922306 Description: Tue Sep 23 22:18:44 2008 by user: Ted > refdata18 = read.csv("C:\\MerchantData\\RiskModel\\Capture.Week.18.csv", > na.strings="") > stableFit(refdata18[,1],alpha = 1.75, beta = 0, gamma = 1, delta = 0, + type = c("q", "mle"), doplot = TRUE, trace = FALSE, title = NULL, + description = NULL) Title: Stable Parameter Estimatio...

...uot;merchants2") > rs <- dbSendQuery(con, "select * from merchants") > df <- fetch(rs, n = 150) > df And of course, that last statement is followed by the entire contents of "merchants" Now, I have a script like the following: refdata18 = read.csv("K:\\MerchantData\\RiskModel\\ndays18.csv", na.strings="") x1 = refdata18[,1] library(MASS) ex1 = fitdistr(x1,"exponential") str(ex1) Now, the contents of ndaysXX.csv represent records where one of the date values is in week XX of the current year. We don't yet have data spanning multi...

...integers as numbers? To: r-help@r-project.org Message-ID: <19600308.post@talk.nabble.com> Content-Type: text/plain; charset=us-ascii I have a number of files containing anywhere from a few dozen to a few thousand integers, one per record. The statement "refdata18 = read.csv("K:\\MerchantData\\RiskModel\\Capture.Week.18.csv", header = TRUE,na.strings="")" works fine, and if I type refdata18, I get the integers displayed, one value per record (along with a record number). However, when I try " fitdistr(refdata18,"negative binomial")", or hist.scot...