similar to: Problem with merging two zoo objects

Hello, this code below was from a helpful R-help user. dat <- read.csv("Resid_fix2.csv", sep="," , header=T) dat11 <- dat[1:413,] # convert ambiguous columns to factors: dat11$Pri_No <- factor(dat11$Pri_No) dat11$RecovUnit <- factor(dat11$RecovUnit) # plot: require(lattice) bwplot(bbED~ Pri_No | RecovUnit, data=dat11, as.table=TRUE, layout=c(4,1)) This works,

I need to split a given matrix in a sequential order. Let my matrix is : > dat <- cbind(sample(c(100,200), 10, T), sample(c(50,100, 150, 180), 10, > T), sample(seq(20, 200, by=20), 10, T)); dat [,1] [,2] [,3] [1,] 200 100 80 [2,] 100 180 80 [3,] 200 150 180 [4,] 200 50 140 [5,] 100 150 60 [6,] 100 50 60 [7,] 100 100 100 [8,] 200 150 100 [9,]

Dear Eliza, Try this: Lines1<-readLines(textConnection("1911.01.01?????? 7.87 1911.01.02?????? 9.26 1911.01.03?????? 8.06 1911.01.04?????? 8.13 1911.01.05????? 12.90 1911.02.06?????? 5.45 1911.02.07?????? 3.26 1911.03.08?????? 5.70 1911.03.09?????? 9.24 1911.04.10?????? 7.60 1911.05.11????? 14.82 1911.05.12????? 14.10 1911.06.13?????? 7.87 1911.06.14?????? 9.26

Hi, Try this: lines1<- readLines(textConnection("gene1 or1|1234 or3|56 or4|793 gene4 or2|347 gene5 or3|23 or7|123456789")) lines2<-readLines(textConnection(">or1|1234 ATCGGATTCAGG >or2|347 GAACCTATCGGGGGGGGAATTTATATATTTTA >or3|56 ATCGGAGATATAACCAATC >or3|23 AAAATTAACAAGAGAATAGACAAAAAAA >or4|793 ATCTCTCTCCTCTCTCTCTAAAAA >or7|123456789

Hi all; I have a data set with the format below: Year, Day, Hour, Value 2010, 001, 0, 15.9 2010, 001, 1, 7.3 2010, 001, 2, 5.2 2010, 001, 3, 8.0 2010, 001, 4, 0.0 2010, 001, 5, 12.1 2010, 001, 6, 11.6 2010, 001, 7, 13.9 2010, 001, 8, 11.9 2010, 001, 9, 13.6 2010, 001, 10, 16.1 2010, 001, 11, 18.5 That should

Hi R users, Wonder if somebody could give me help on how to reshape this type of data: ----------------------------------------------------------------------------------------------------------------------- Date:10.09.19 Time:21:39:05 Lat:N62.37.18 Long:E018.07.32 0000-0010 | 28| 28 0010-0020| 302| 302 0020-0030| 42| 42 0030-0040| 2| 2 0040-0050| 1| 1 0060-0070| 1| 1

Hi How would I analyse time series with - different lengths (i.e. one has 9 entries and the other has 14 entries) - different frequency (i.e. dates are random - no repeated length) - multiple values for the same time entry (e.g. 2009-10-23 below) i.e. my data takes the form: 1st time series 2009-10-07 0.009378 2009-10-19 0.014790 2009-10-23 -0.005946 2009-10-23 0.009096 2009-11-08 0.004189

Readers, I have data with different time stamps that I wish to plot (for example): data set 1 time(hh:mm:ss),datum 01:00:00,500 01:00:15,600 01:00:30,750 01:00:45,720 01:01:00,700 01:01:15,725 01:01:30,640 01:01:45,710 data set 2 time,datum 01:00:12,20 01:01:01,55 01:01:55,22 The time interval in data set 1 does not change, but the time interval in data set 2 does change, such that for a

I have two files with dates and prices in each. The number of rows in each of them will differ. How do I create a new file which contains data from both these files? Cbind and merge are not helpful. For cbind because the rows are not the same replication occurs. Also if I have similar data how do I write a vlookup kind of function? I am giving an example below: Say Price1 file contains the

Hi, I have a pretty simple problem. Here is the code: dat1=complete(dat.mice,1) dat2=complete(dat.mice,2) dat3=complete(dat.mice,3) dat4=complete(dat.mice,4) dat5=complete(dat.mice,5) dat6=complete(dat.mice,6) dat7=complete(dat.mice,7) dat8=complete(dat.mice,8) dat9=complete(dat.mice,9) dat10=complete(dat.mice,10) dat11=complete(dat.mice,11) dat12=complete(dat.mice,12)

Hi everyone, I'm writting a script that will open multiple files in a single folder and then will do some calculations to finally save everything in a big table. So here is the pseudo code #read all files in the given directory myfiles <-list.files("c:\\myDir") #initialize table ??? #loop through files for(f in myfiles[-1]) { netMat <-

Hi Using the ggplot2 package, I would like to obtain a plot that contains two time series that have data points on different dates. For instance, one data frame looks like: date1, value1 2010-01-05, 2921.74 2010-01-08, 2703.89 2010-01-14, 3594.21 2010-01-20, 3659.22 The other data frame looks like date2, value2 2010-01-01, 285.85 2010-01-02, 229.20 2010-01-05, 333.91 2010-01-06, 338.27

I understand this is an easy question, and have been playing around with grep and the match function, but was hoping for a little incite: I have one .csv with the following data: names values A 1 B 2 C 3 D 4 The second .csv is: names A C I am hoping to match all of the rows that appear in the second .csv, making a new file that would look like this: names values

trying to structure sql to merge two datasets. structure follows: dbs.possible.combos (all possible combinations of dates and places) Date Place 1/1/10 N-01 1/1/10 S-02 1/2/10 N-01 1/2/10 S-02 etc... dbs.aggregate (the raw data aggregated by date and location) Date Place Days 1/1/10 N-01 6 1/1/10 S-02 10 1/2/10 S-02 5 Trying to merge so I look-up the values for each possible combo dbs.final

Dear r-users, Suppose I have three datasets: Dataset-1: Date x y Jan-1,2005 120 230 Jan-2,2005 123 -125 Jan-3,2005 -110 300 Jan-4,2005 114 -21 Jan-7,2005 11 299 Mar-5,2005 200 311 Dataset-2: Date x y Jan-2,2005 123 -125 Jan-3,2005 -110 300 Jan-4,2005 114 -21

Hello, I have a question and need your help urgently. I am new to R but want to learn it. I have several files in a folder which I have imported to R using : temp = list.files(pattern="*.txt") >myfiles = lapply(temp, read.delim) The resulting files are on the workspace stored as List[110]. So they are 110 files in the list. Each file has several different columns and rows. My

Hi, I have a time series problem that I would like some help with if you have the time. I have many data from many sites that look like this: Site.1 date time level temp 2009/10/01 00:01:52.0 2.8797 18.401 2009/10/01 00:16:52.0 2.8769 18.382 2009/10/01 00:31:52.0 2.8708 18.309 2009/10/01 00:46:52.0 2.8728 18.285 2009/10/01 01:01:52.0

Dear list, I would like to create a time series plot in which the paths of several individuals are stacked above each other, with the x-axis being the total observation period of three years ( 1.1.2004 to 31.12.2007) and the y-axis being some defined range[min,max]. My data consist of Date/Time information and the paths of 45 individual as the distance from the location of release. An example

Hi, I was wondering if it's possible to separate elements in multiple rows that actually should appear in different columns. I have a file where in certain lines there are elements not separated, and they certainly should appear in different columns (an example of the file is attached). The point is that I do not want to manually add a space in the txt file, however, I did not

I have a data set for different time intervals. The data has three comment lines before data for each time interval. For each time interval there are 500 data points. I want to change the dataset such that I have the following format: t1 t2 t3 ................ 0.00208 0.00417 0.00625 ................. a1 a2 a3 ...................