similar to: rsync calculating the number of files transferred

I have the following data and am trying to find the percentage of bid values purchased for that price. So let's say I have a bid of 5 and it's sold 2 times for $3 and $5. Since the original bid was $5, the percentage of times that that bid value results in a sold purchase AT that specific bid level was 1/3 because of the three time where the bid was three, it ended up being sold for $5

Hi, I have a dataset in which there are in all 250 variables and for each variable the data is entered over the months. I need to calculate the percentage of missing values for each variable over each month and then plot a graph for that. I am running the following code for doing the same *ds <- read.csv(file="filepath", header=TRUE) attach(ds) may <-

I am trying to simplify my code by adding a for loop that will load and compute a sequence of code 10 time. They way i run it now is that the same 8 lines of code are basically reproduced 10 times. I would like to replace the numeric value in the code (e.g. Bin1, Bin2....Bin10) each time the loop goes around. Below i tried doing this with a simple for loop and adding the string character before

Hello, I know, this is a real newbie question, but I can't find anything on this in the manuals! I know that I get calculate the column totals of a table with `apply(mytable, 2, sum)'. Now I want each column total to be 100% and calculate the percentage of each field of the column. How would I do that? Rcommander, the ultimate newb-tool, has a function `colPercents' which is exactly

How do you calculate the percentage of data within 2SD, 3SD, 4SD, 5SD, and 6SD of the mean? I used the following link as the data I'm working with: nb10 <- read.table("http://www.adjoint-functors.net/su/web/314/R/NB10") if this helps answer my question. Can you please explain how to calculate the SD's? Please be specific in which part of the function changes when

Hello, I'm facing a problem of optimization, I've already solved but I'm trying to find other answers to this problem to improve the solution. Well, to make it short: I have to set/install a number of devices in a building, and I have to give service to a number of "customers", or better say, to give a good quality of the signal. The more devices I place, the higher the

Hi useRs, I am trying to calculate the Sharpe ratio with "sharpe" of the library "tseries". The documentation requires the univariate time series to be a portfolio's cumulated returns. In this case, the example given data(EuStockMarkets) dax <- log(EuStockMarkets[,"FTSE"]) is however not the cumulated returns but rather the daily returns of the FTSE

  Hi, How i can calculate cpu utilization percentage for domain running under a host using libvirt API. Which function can i use for calulating cpu percentage? Thanks and Regards, Deepak S ------------------------- Message sent via Atmail Open - http://atmail.org/

Dear all, I am trying to calculate some measure of the amount of variability in the response variable that is explained by a model fitted in lmer m1<-lmer(response-var ~ Condition+(1|Site/Area/Transect),family="binomial") . I've seen from the literature that the precentage of explained deviance is a common measure. How can I calculate it? Thanks a lot for your help, I hope this

Hi everybody, Im a newbie, but i hope someone can help me in this work... Ill try to explain what i need to do in the best way, but my english is not good... Iv imported a big table of data, this table is something like this: 255 0 255 0 255 255 255 0 255 0 255 255 255 255 0 255 255 0 255 0 255 255 255 255 255 255 255 0 255 0 255 255 255 255 0 255 255 0 255 0 255 255 0 255 255 255 255 0 255 0

Hi David, On Fri, Nov 6, 2020 at 7:10 PM David Blaikie <dblaikie at gmail.com> wrote: > > The first observation: a significant increase in the byte-coverage statistic, > > meaning that we're able to track variable locations for longer and across more > > code. This was one of the main aims of this work, having better tracking of > > the locations that we know.

Hi, I followed two posts as my guideline http://lists.llvm.org/pipermail/llvm-dev/2017-September/117339.html and http://lists.llvm.org/pipermail/llvm-dev/2017-September/117156.html I am using clang 4.0.1 and compiler-rt 4.0 release 1. I made changes in the LCF to mimic Linux Platform (for linker magic) In data section i have added: __start___llvm_prf_cnts = .;

Dear all, I am interested in correctly testing effects of continuous environmental variables and ordered factors on bacterial abundance. Bacterial abundance is derived from counts and expressed as percentage. My problem is that the abundance data contain many zero values: Bacteria <-

Dear John Fox, Christian Kleiber, and Achim Zeileis, I am attempting to run various independent variable parameters to assess their suitability. Unfortunately, I hit a snag and couldn't get the tests to run properly. When I used ivreg, I got an error message saying: "Error in eval(predvars, data, env) : object 'WageInequality' not found." Can you please help? Model:

I have to load 10 different data frames and then manipulate those 10 data frames but would like to do this in a more simplified code than what i am doing. I have tried a couple of approaches but cannot get it to work correctly. So the initial (bulky) code is: #Bin 1 #------- #Loads bin data frame from csv files with acres and TAZ data Bin1_main <-

Does anyone know how I can generate a 2x2 table in a format where in each cell of the table, it contains a) count (frequency) b) total percentage c) row percentage d) column percentage. SAS can generate this format easily, is there a R package that can do this? Frequency | Percent | Row Pct | Col Pct | positive negative | Total --------------------------------|------- disease |

Dear all, I am making a function for creating plots and part of this function is to change the labels to x axis that instead of number contains percentage number. I want to change the x axis to depict the percentage value of the presented data x<-c(501:600) y<-c(201:300) plot(x,y,axes=F) axis(2,labels=T) text=round(seq(0,100,length.out=5),2) # make percentage bar

Hi! I have some data that looks like this up down percentaje uew_21 20 14 58.82 uew_20_5 27 40 40.29 uew_20 8 13 38.09 uew_19_5 17 42 28.81 So I have 4 experimental conditions and I am counting number of animals in the up and down compartment and the calculating the percentage, I want to know which one of the conditions is different from each other. If the data wouldn't be percentage

I'm struggling to find any help on this seemingly simple question - how does one read data with percentage (%) or currency (?,$ etc.) signs? When I try to read a data file which has any of those symbols in the data fields, they are read as characters rather than values. Is there a function or library which can deal with such values? As an example, I use this sample from one of chinna's

Hello, Dr. Viechtbauer. I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder if you can give me some instruction.