similar to: Is there simple code for this simple financial time series task?

Hello everybody. I have a question that has stumped me and the usual "apply" tricks don't seem to work. I run a course where each student's performance is marked by one or more assessors. I have a data frame containing students' names, assessors' names and their marks, arranged as follows: ID student assessor Q1A Q1B Q1C Q2A Q2B Q3 1 2152833

I have a simple vector, called tmp that I want to subset based on another vector called vec. Everything works as expected except for below where the subsetting returns something other than the original data. Any ideas? > vec <- c(1,2,3,4,5,59,60,27,32,21) > tmp [1] 1.0 1.1 2.0 2.1 2.2 3.0 3.1 4.0 5.0 5.1 6.0 7.0 8.0 8.1 9.0 [16] 9.1 9.2 10.0 10.1 11.0 12.0 13.0 14.0

Hello, It's an alternative to use SAS by function in R? I want to plot d histograms by plot.from example bellow: Thank you! plot d 1 1 16.3 2 1 25.0 3 1 57.8 4 1 17.0 5 2 10.8 13 2 96.4 17 3 76.0 18 3 32.0 19 3 11.0 20 3 11.0 24 3 106.0 25 3 12.5 21 4 19.3 22 4 12.0 26 4 15.0 27 5 99.3 32 7 11.0 36

I have a data frame (gom) or a matrix of trace metal data and some other observations from water column samples taken at sea (e.g., 19 samples (rows), 19 variables) I can calc. the rank individually from each column of the attached object. How can I create a matrix that contains the ranked data for each variable (either 1-19, ties=avg)? For example: >gom<-read.csv ("gomdata.csv")

Hi. > a [1] 13 13 14 14 15 15 16 20 21 26 > summary(a) Min. 1st Qu. Median Mean 3rd Qu. Max. 13.0 14.0 15.0 16.7 19.0 26.0 > mean(a) [1] 16.7 > quantile(a) 0% 25% 50% 75% 100% 13 14 15 19 26 Clearly, this is not right. My Instructor and I have no idea why the program does that. I removed the program from the computer , installed it

Hi, I am very new to R and I've been trying to work through the R book to gain a better idea of the code (which is also completely new to me). Initially I imputed my data from a text file and that seemed to work ok, but I'm trying to examine linear relationships between gdist and gair, gdist and gsub, m6dist and m6air, etc. This didn't work and I think it might have something to do

Hi, I'm searching for a function to subistute Values in a Matrix to new Values. For example: old value new value 1.1 6 1.2 7 . . . . . . 1.9 14 2.0 15 and 2.1 15.5 2.2 16 . . . . 2.9 19.5 3.0 20 There is a difference

Hi , R Version 0.90.1 on Solaris2.5 and Suse Linux 6.[1,3] crashes some time after a matrix row or column has been addressed via an incorrect row/colname: R : Copyright 1999, The R Development Core Team Version 0.90.1 (December 15, 1999) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type "?license" or

On Sun, Nov 24, 2019 at 12:00 AM Phil Perry <pperry at elrepo.org> wrote: > This list does not accept attachments. Please just post the relevant > line for your ethernet device. or if you're not sure, paste the whole output inline in your message.... something like.... # lspci 00:00.0 Host bridge: Advanced Micro Devices, Inc. [AMD] RS880 Host Bridge 00:01.0 PCI bridge:

Hello all, turns out i'm having a bad R week. I am at my wits end with a function that I am trying to write. When I run the lines of code outside of a function, I get the desired output. When I wrap the lines of code into a function it doesn't work as expected. Not sure what is going on here. I suspected that the syntax of the if statement with the for loop was the culprit, but when I

Hi guys, I''m running a freenas domU (FreeBSD 8.3 based, ZFS v28, 2 vcpus mapped to the same HT capable core) to serve storage for all purpose including other domUs running on the same host. I did some study to understand how well it works and the result is kind of confusing. In summary, the network performance between domains on the same host is worse than expected. And NFS service to

Hello everyone, I''m a newbie experimenting with CBQ shaping and am facing a few problems. Can any of you please help? TEST SETUP: +---------------+ +----------------+ | 10.0.0.103 |----------->| 10.0.0.102 | +---------------+ +----------------+ 10.0.0.103: Linux, 100Mbit/s NIC 10.0.0.102: Windows, 100Mbit/s NIC, iperf tcp server (ports 2000 and 2001) WHAT I

I made simulation with Weibull and create Matrix, How can I create mean/min/max/stdev on column or rows of matrix?, Thanks,

Hello, Like many trying and posting here, I''m new to VGA passthrough. Computer was bought, checking compatibility from http://wiki.xen.org/wiki/VTd_HowTo The hardware is mostly not exactly on the list, but mainly new versions of the same series (I think). IOMMU "seems" to be working (not 100% sure what to check). I used debian/wheezy kernel and xen, dom0 and HVM domu.

I have some doubts about the validity of my procedure to estimeate linear contrasts ina a factorial design. For sake of semplicity, let's imagine a one way ANOVA with three levels. I am interested to test the significance of the difference between the first and third level (called here contrast C1) and between the first and the seconda level (called here contrast C2). I used the following

I think I am overlooking a call or concept in R to help me easily and quickly restructure my data.frame:   Sometimes the data I receive looks like: VariableName, Run1, Run2, Run3, Location temp,               15.0,  16.0,  17.0, There   And other times it looks like: VariableName, Run, Location temp,               17.0, There   I would like to use the header information in order to be able to

Hi Matteo, You could do this: dat1<-read.table(text=" year? h? len fre 1994? 5 10.5? 2 1994? 5 14.0? 2 1994? 5 11.5? 1 1994? 9 13.0? 3 1994? 9 11.5? 1 1994? 9 13.5? 5 ",sep="",header=TRUE) res<-do.call(rbind,lapply(split(dat1,dat1$fre),function(x) x[rep(row.names(x),x$fre),1:3])) row.names(res)<-1:nrow(res) ?res #?? year h? len #1? 1994 5 11.5 #2? 1994 9 11.5 #3?

Hi, Suppose I have the following vector (data points): > x [1] 36.0 57.3 73.3 92.0 300.4 80.9 19.8 31.4 85.8 44.9 24.6 48.0 [13] 28.0 38.3 85.2 103.6 154.4 128.5 38.3 72.4 122.7 123.1 41.8 21.7 [25] 143.6 120.2 46.6 29.2 44.8 25.0 57.3 96.4 29.4 62.9 66.4 30.0 [37] 24.1 14.8 56.6 102.4 117.5 90.4 37.2 79.6 27.8 17.1 26.6 16.3 [49] 41.4 48.9 24.1

Hi All, I'm still pretty new to using R - and I was hoping I might be able to get some advice as to how to use 'apply' or a similar function instead of using nested for loops. Right now I have a script which uses nested for loops similar to this: i <- 1 for(a in Alpha) { for (b in Beta) { for (c in Gamma) { for (d in Delta) { for (e in Epsilon) { Output[i] <-

hello, Does anybody know how to aggregate a lag series ? when I try to use aggregate I get the following message > try<-ts(1:100,start=c(1985,1),freq=12) > aggregate(try,4,mean,na.rm=T) Qtr1 Qtr2 Qtr3 Qtr4 1985 2 5 8 11 1986 14 17 20 23 1987 26 29 32 35 1988 38 41 44 47 1989 50 53 56 59 1990 62 65 68 71 1991 74 77 80 83 1992