similar to: Detecting missing variables

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 <-

Hi, I have imported one dataset in R. I want to calculate the percentage of missing values for each month (May 2006 to March 2007) for each variable. Just to begin with I tried the following code : *for(i in 1:length(dos)) for(j in 1:length(patientinformation1) if(dos[i]=="May-06" && patientinformation1[j]=="") a <- j+1 a* The above code was written to calculate

I am facing a problem in merging two datasets. I have given codes to the names which are common in both the datasets and also to those which are uncommon. When I gave gave the following command merge(df1,df2) only those rows and columns were merged which were having common codes. When I viewed the results, only common codes are seen and the remaining entries are not seen. Can anyone guide me

Hi, I am running Ubuntu on my Windows OS through VMware. I am trying to install R in Ubuntu, but not getting with those commands, which are there on the site. Can anyone please tell me how to install it, stepwise, with commands to be used. As I m new to Ubuntu as well, I am not aware of the commands very well. Thanks, Shreyasee [[alternative HTML version deleted]]

Hi, I want to create a new vignette and include it in an already existing package. That package has already many vignettes which are related to the chapters from the book on which the package is built. It would be a great help if anyone could help to understand how to create vignette for a statistical test like Chi-Square test. Thanks, Shreyasee [[alternative HTML version deleted]]

Hi, I searched a lot on the internet but was unable to find the function for calculating the kappa statistics for intra-observer reliabilty. Can anybody help me in the this regards. Thanks, Shreyasee [[alternative HTML version deleted]]

Hello, I am having a dataset in which the values range from 0 - 700000. When I tried to plot a scatterplot using following command plot(x,y) I got the plot where the x-axis and y-axis were displayed as 0e+00, 1e+05, 2e+05, ....... I saw the dataset, but there is no erroneous value. Can anybody guide me on this? Thanks, Shreyasee [[alternative HTML version deleted]]

Dear R forum I have data.frame as df = data.frame(rate_name = c("USD_1w", "USD_1w", "USD_1w", "USD_1w", "USD_1m", "USD_1m", "USD_1m", "USD_1m", "USD_2m", "USD_2m", "USD_2m", "USD_2m",  "GBP_1w", "GBP_1w", "GBP_1w", "GBP_1w",

Hello, I am working on "tm" package. I have 2 pdf files saved in the directory D:/Files I issued the following commands (marked in red bold) for which I got some errors and warnings (marked in bold) *surgj <- Corpus(DirSource("D:/Files"), readerControl = list(language = "ansi"))* *Warning messages: 1: In readLines(y, encoding = x$Encoding) : incomplete final

Hi, I have a dataset and calculated the time difference between two time variables. The output is somewhat like *"1/29/2324 1:57:39 AM".* I want to plot a histogram for this variable. When I gave *hist()* command it returned an error saying *"Error in hist.default(num) : 'x' must be numeric"* Can anybody guide me on this as to how should I plot the histogram for this?

Good day all Is it possable to set asterisk up as a cdr server for other voip units We got a quintum dx here and its got a option to log to a cdr server on port 9002 Thanks Altus

hi, I have a question about importing data in R. I want to import a file which has missing value in it, and the missing values are denoted as ".", I want to first read in the file, and then change the "." into the number zero "0". how can I do that? thank you, karena -- View this message in context:

Dear R forum, (Pl note this is not a finance problem) I have two data.frames as currency_df = data.frame(current_date = c("3/4/2013", "3/4/2013", "3/4/2013", "3/4/2013"), issue_date = c("27/11/2012", "9/12/2012", "14/01/2013", "28/02/2013"), maturity_date = c("27/04/2013", "3/5/2013",

Dear R forum I have a data.frame df = data.frame(currency_type = c("EURO_o_n", "EURO_o_n", "EURO_1w", "EURO_1w", "USD_o_n", "USD_o_n", "USD_1w", "USD_1w"), rates = c(0.47, 0.475, 0.461, 0.464, 1.21, 1.19, 1.41, 1.43))   currency_type     rates 1      EURO_o_n   0.470 2      EURO_o_n   0.475 3       EURO_1w   0.461

Hello *'s, I have question regarding Quintum Tenor AXT800 VOIP gateway can anyone integrate it with asterisk if anyone what is the scenerio i have scenerio which is quite simple but i am confused about it whether it is possible or not : I integrate it with asterisk for interanet no PSTN at all just only IPphones and analog phones connected on FXS port.Is it's neccassary to cannect with

Hello all, I have a CSV file, that is 2411 columns wide. There are certain instances in teh file, where null values are located. That is: two commas together, without anything in the middle. In a certain section, the only possible values are NULL, 0,1,and 2. I need to be able to detect these NULL's and be able to have them counted. For example, in a frequency table. How can I accomplish this?

Hello! I am trying import data into R and im running into a snag. GOAL: Import a 4 column, 8,000 row table into R including headers. WHAT I'VE ATTEMPTED: Original data was in Excel format. Converted data to both a .txt and .csv (to see which worked better) Imported data into R via commands as object "demand" (see below) Please excuse the long file path.

How do I fix this error ? I tried coercion to a vector but that didn't work. msci <-read.csv("..MSCIexUS.csv", header=TRUE) head(msci) Date index 1 Dec 31, 1969 100 2 Jan 30, 1970 97.655 3 Feb 27, 1970 96.154 4 Mar 31, 1970 95.857 5 Apr 30, 1970 85.564 6 May 29, 1970 79.005 > str(msci) 'data.frame': 510 obs. of 2 variables: $ Date : Factor w/ 510

I am introducing the scan() function to my class. Consider the following file (Scanexamp.Rnw ) \documentclass[12pt]{article} \begin{document} <<>>= height = scan() 64 62 66 65 62 69 72 72 70 part = scan(what = character(0)) "Soprano" "Soprano" "Soprano" "Alto" "Alto" "Tenor" "Tenor" "Bass"

Hello all, I post this issue thinking too that could help other people on an asterisk deployment over distributed offices considering both quality, prices, devices and so. Well, i am working on a deployment of a telephony system based in asterisk. My company have a central office with seven remote offices connected all through a VPN. To reduce and evaluate costs i consider solutions like: