similar to: Adding a value to one dataframe from another dataframe

Dear R-users, I am trying to reshape the DF "dat2" in the "long" format, but can't figure out how to use the "split"-option: > dat2 a.1995.z b.1995.z a.1996.z var 1 100.00000 100.00000 100.00000 Neue Anlagen insgesamt 2 40.09904 23.60890 40.88960 Neue Ausr??stungen 3 59.90096 76.39110 59.11040 Neue Bauten This

hi, I'm using the SCD-20 solar controller from IVT Gmbh in combination with a 230Ah battery and a photovoltaic panel to power a small server based on an Intel ATOM N270 CPU. the controller is (will be) connected to the server via RS232 (1200 8n1) and works like this: - if the battery voltage drops below 12V, a warning LED is switched on - if the battery voltage drops below 10.5V, the load

Hello I have DSL 2000 (2048 kbit/s download and 256 kbit/s upload) I have ping to fast sites very high: 64 bytes from w2.rc.vip.scd.yahoo.com (66.94.234.13): icmp_seq=3 ttl=50 time=2185 ms 64 bytes from w2.rc.vip.scd.yahoo.com (66.94.234.13): icmp_seq=4 ttl=50 time=1983 ms 64 bytes from w2.rc.vip.scd.yahoo.com (66.94.234.13): icmp_seq=5 ttl=50 time=1826 ms and I know why. I have 2 interfaces:

Rainer, Arjen I was wandering around the code, and found that few things are missing around the IVT code: - no manpage, - no entry in driver.list - no device{mfr,model,type} in the code. I was about to submit a patch to address the above (ready to commit), but wanted first to get an update on the status. looking at the last thread, it's a bit unclear... I'm also interested an upsc

Hello and thanks for helping. #some data L3 <- LETTERS[1:3] dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE))) #When x==1 and y==1 I want to replace the 1 values with NA #I can select the rows I want: dat2<-subset(dat1,x==1 & y==1) #replace the 1 with NA dat2$x<-rep(NA,nrow(dat2) dat2$y<-rep(NA,nrow(dat2) #select the other rows and rbind

Hi, I have a testing multihome setup, with the default gateway being one of the links and using policy routing to honor requests for a specific link. Everything works as expected when I request a specific IP to bind to. But if I request a specific interface things fall apart in ways that I can not explain: default gw (WORKS) ---------- rabbit@Thesaurus:~$ ping -c 1 yahoo.com PING yahoo.com

Hi R users I am trying to find unmatched data from two dataframes. I would like to find unmatched data based on several factors. For the following data: dat1 <- data.frame(x = paste("A", 1:6, sep=""), y = c("andy","bob","ciaran","dan", "eion", "fred")) dat1 dat2

HI R help, I was trying to get identical data frame from a list using two methods. #Suppose my list is: listdat1<-list(rnorm(10,20),rep(LETTERS[1:2],5),rep(1:5,2)) #Creating dataframe using cbind dat1<-data.frame(do.call("cbind",listdat1)) colnames(dat1)<-c("Var1","Var2","Var3") #Second dataframe conversion

I have a dataframe of 10 different columns (length of each column is the same). I want to eliminate any column that has 'NA' greater than 15% of the column length. Do i first need to make a function for calculating the percentage of NA for each column and then make another dataframe where i apply the function? Whats the best way to do this.

Hello, I have a dataframe w/ 3 variables of interest: transaction,date(tdate) & time(event_tim). How could I create a 4th variable (last_trans) that would flag the last transaction of the day for each day? In SAS I use: proc sort data=all6; by tdate event_tim; run; /*Create last transaction flag per day*/ data all6; set all6; by tdate event_tim; last_trans=last.tdate; Thanks

HI, You may try this: dat1<- read.table(text=" CustID TripDate Store Bread Butter Milk Eggs 1 2-Jan-12 a 2 0 2 1 1 6-Jan-12 c 0 3 3 0 1 9-Jan-12 a 3 3 0 0 1 31-Mar-13 a 3 0 0 0 2 31-Aug-12 a 0 3 3 0 2 24-Sep-12 a 3 3 0 0 2 25-Sep-12 b 3 0 0 0 ",sep="",header=TRUE,stringsAsFactors=FALSE) dat2<- dat1[,-c(1:3)] res<- lapply(seq_len(ncol(dat2)),function(i)

Both get.hist.quote, and its derivative priceIts, rely on download.file() to fetch financial data series from Yahoo! in .csv format. They allow for nice interactive demonstrations of what one can do with R. Unfortunately, both are currently broken as Yahoo! decided to add a somewhat useless html comment at the end of the csv 'stream', breaking the regular format of n rows with k columns.

Just a note that Yahoo came out with some more widgets Check out http://com1.devnet.scd.yahoo.com/yui/container/index.html. Maybe we can adopt some of their ideas. * I like the Module library and its subclasses * you can do unobtrusive html and use this when you instantiate the javascript objects dom _______________________________________________ Rails-spinoffs mailing list

Seems like this should be easy but I'm struggling a bit. How do I rearrange a data frame to go from the first one to the second shown below ? State Date lbs TX 200701 400 TX 200702 650 TX 200703 950 TX 200704 1000 FL 200701 200 FL 200702 300 FL 200703 500 FL 200704 333 NJ 200701 409 NJ 200702 308 NJ 200703 300 NJ 200704 800 Date TX FL NJ 200701 400 200 409 200702 650

I have a question about how apply() works for changing data values. I am using it to change NA values to zero, but the question applies to other value changing operations as well. If I have a dataframe "Dat" with columns "a", "b" and "c" and there are some NA values in every column: If I do: Dat$a[is.na(Dat$a)] <- 0 then all the NA values are changed

Hi, dat1<- read.table(text=" id??????????????? t???????????????????? scores 2???????????????? 0??????????????????????? 1.2 2???????????????? 2???????????????????????? 2.3 2???????????????? 3??????????????????????? 3.6 2???????????????? 4??????????????????????? 5.6 2???????????????? 6??????????????????????? 7.8 3???????????????? 0??????????????????????? 1.6 3????????????????

Hi, I hope that folks can give me some simple approaches to taking the data set below, which is accumulated in two columns called "long" and "group", then arrange the data is the "long" column into a data frame containing five variables: "Group 1", "Group 2", "Group 3", "Group 4", and "Group 5". I am hoping for a few

I have one month data in a dataframe.. I need to filter data based on start date and end date Ex: Start date :- 01/Jul/2012 and End date :- 10/Jul/2012 Please help me to find the solution -- View this message in context: http://r.789695.n4.nabble.com/How-to-filter-datetime-from-a-dataframe-tp4637721.html Sent from the R help mailing list archive at Nabble.com.

Hello. I have for example 4 or more dataframe which like such this example: date value 2006-11 0.4577647 2006-12 NaN 2006-10 0.1577647 2006-11 0.3577647 2006-12 NaN 2007-01 NaN 2007-02 NaN 2007-03 0.2956429 2007-01 0.3677647 2007-02 NaN They have the same length. I need merge by date undefined number of dataframes. End result output will look like

Hi everyone: This may be trivial but I just have not been able to figure it out. Imagine the following dataframe: a b c d TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE I would like to create a new dataframe, in which TRUE gets 0 but if false then add 1 to the cell to the left. So the results for the example above should be something like: a b c