search for: sampledata

Hi, I am trying to add a column of numbers to a data frame in R with multiple conditions. Here is a simplified example df: [A] [B] [C] [D] [E] [1] 1 X 90 88 [2] 1 Y 72 70 [3] 1 Z 67 41 [4] 2 X 74 49 [5] 2 Y 42 50 [6] 2 Z 81 56 [7] 3 X 92 59 [8] 3 Y 94 80 [9] 3 Z 80 82 I would like column [E] to have a certain value (found either in [C] or [D]) based on conditions in columns [A] *and* [B].

Hi friends, I have a matrix with following format. group var1 var2 .......varN c1 group1 1.2399 1.4990....-1.4829 c2 group4 0.8989 0.7849.....1.8933 ... ... c100 group10 ..... I want to draw a profile plot of each condition c1 to c100, which rows in above matrix and each line representing a row should be uniquely colored according to the group(1 to 10). I think this is simple task

...the output from either the lm() or vf() even thought neither lm() nor vif() have any problems . How can I force the function to print sequential results rather than wait for the entire function to complete before listing the functhion's output? Thanks, John minBMI<-function(SS,SimData) { SampleData<-sample(1:SS,size=SS,replace=TRUE) fitBMIEpiRevlm<-lm(AAMTCARE~BMIEpiRevAdjc+BMIEpiRevAdjcSq+SEX+jPHI+jMEDICAID+H_AGE+jMARSTAT+factor(jEDUCATION)+factor(jsmokercat)+factor(jrace)+log(INCOME_C+1),data=SimData[SampleData,],x=TRUE) print(summary(fitBMIEpiRevlm)) print(vif(fitBMIEpiRevlm)) fitBMI...

...late the frequency for the listed variables and not the frequency percentage. Is there a method or a script with which I can pass the frequency percent and the related values as category columns for x axis? I will attach the graphs that I have generated so that you can suggest the better way. Sampledata - Sampledata.txt What my function does to calculate the frequency with category names in X axis - 1.png My requirement is to generate percentage frequency of the variable in y1 and not the frequency itself. 2.png (where x categories are missing) Thanks, Sudha Krishnan -------------- next...

Hello there, In gdata package, read.xls is to be used for reading excel data (from windows). The following is my code:('C:/session/sampledata.xls' is where the file is stored) data1<-read.xls('C:/session/sampledata.xls',sheet=1) and I got the following error message: Error in system(cmd, intern = !verbose) : perl not found Could you please tell me what I have done wrong and how I should do it? Thanks a lot Lisa Wang...

...task. The SAS codes are as follows, /*to generate the dataset*/ DATA Single_Simulation; DO se=0 to 1 by 0.01; DO sp=0 to 1 by 0.01; DO DR=0 to 1 by 0.01; TR=(DR+sp-1)/(se+sp-1+1.0e-12); Adjust_Factor=TR/(DR+1.0e-12); OUTPUT; END; END; END; RUN; /*to select some data*/ DATA sampledata; SET Single_Simulation; IF DR=0.02 & sp=1; RUN; #I tried the following codes with R,failed num<-seq(0, 1, by = 0.01) for (se in num) { for (sp in num) { for (DR in num) { TR=(DR+sp-1)/(se+sp-1+1.0e-12) Adjust_Factor=TR/(DR+1.0e-12) } } } My questions are, 1. What is the co...

...= 3 write(1, "QueryTimeout=200000", 19) = 19 write(1, "\n ", 3) = 3 write(1, "DateFormat=1", 12) = 12 write(1, "\n", 1) = 1 write(1, "> ", 2) = 2 write(1, "SampleData = sqlQuery(conn, \"sel"..., 78) = 78 write(1, "+ ", 2) = 2 write(1, "\n", 1) = 1 write(1, "+ ", 2) = 2 write(1, " TB_CH_CBSA_CODE_CBSA"..., 46) = 46 write(1, "+ "...

...est code follows. Any suggestions for corrections would be appreciated. # Define matrix to hold results coeffs <- matrix(nrow=10, ncol=3) dimnames(coeffs) < -list(NULL,c("BMI","BMIsq","min")) # set row counter n<-0 # Function to run testone<-function() { SampleData<-sample(1:SS,size=SS,replace=TRUE) result<-summary(glm(AAMTCARE~BMIEpiRevAdjc+BMIEpiRevAdjcSq+SEX+jPHI+jMEDICAID+H_AGE+jMARSTAT+factor(jEDUCATION)+factor(jsmokercat)+factor(jrace)+log(INCOME_C+1),data=SimData[SampleData,],family=Gamma(link="log"))) } # if function ran correctly, in...

...le to figure out some of the options, e.g., colNames). Here is a specific example of what I mean and what the problems are. An First I load a sample data file whose first column is a date. This gives the wrong answer as we shall see: > library(date) > sampData <- read.table("sampleData.csv",sep=",",header=TRUE) > sampData Date Col1 Col2 Col3 1 1/1/2003 1.2 1.4 0.160 2 1/4/2003 1.8 1.2 0.900 3 1/5/2003 0.9 1.1 -0.003 > mode(sampData$Date) [1] "numeric" > Note that the Date column is coerced incorrectly into being numeric. Right...

...LLOWING LINK: http://www.imachordata.com/wp-content/uploads/2009/09/boxplot.png Sample data is attached -- there are 9 years and 5 cities. In my case I'm looking to plot "Year" on x-axis and grouping boxplots by "City". I tried the following code. foo<-read.table("SampleData.csv", sep=",", header=TRUE) attach(foo) boxplot(Admit ~ City + Year, range=0.5, col=2:6) # its not solving the purpose I need some help with: 1) Plotting only 9 labels on x-axis (1996-2004). 2) For each "Year", I need to plot FIVE boxplots -- one for each "City"....

...Here is the code: my.panelconstr = function(x,y,...){ points(x,y) panel.loess(x,y,span=1) panel.superpose(x,y,...) } subset(m1data,! is.na(votms) & !is.na(age) & !is.na(Cplace) & !is.na(tokentype)& !is.na(voicing), select=c(votms,age,Cplace,tokentype,voicing)) -> sampledata xyplot(votms ~ age | Cplace + tokentype,data=datasample,xlab="Subject Age (months)",ylab="Voice Onset Time (ms)",panel="my.panelconstr",groups=voicing) Some information on the data set: > sapply(sampledata,levels) > $votms > NULL > > $age &...

...ordered as a polygon and hence trying to draw it creates a series of lines all over the place. I would like to turn the points into a ordered set that results in a smooth polygon. I have tried a "nearest point" approach. An example is shown here: http://www.deepcreekanswers.com/samples/sampledata.png. I've tried a closest perpendicular distance to the shoreline polygon elements approach. But it's worse. Does anyone have an approach that might work? Thank you a priori. Pete Versteegen -- View this message in context: http://r.789695.n4.nabble.com/Creating-a-polygon-from-an-un...

Good morning to everybody, I have a problem : how can I import excel files in R??? thank you very much Dr.sa. Erika Frigo Università degli Studi di Milano Facoltà di Medicina Veterinaria Dipartimento di Scienze e Tecnologie Veterinarie per la Sicurezza Alimentare (VSA) Via Grasselli, 7 20137 Milano Tel. 02/50318515 Fax 02/50318501 [[alternative HTML version deleted]]

sample report data that i want to forecast quarter quarter_index Revenue 2007 Q1 1 $3,856,799 2007 Q2 2 $4,243,328 2007 Q3 3 $4,930,369 2007 Q4 4 $5,443,579 2008 Q1 5 $5,164,830 2008 Q2 6 $5,104,413 2008 Q3 7

...wever I would like to have the temp variables *aggregated into single rows* so that I have the frequency ("Freq" | counts) of each time each "delayValue" occurs in the cells. I've tried this command without luck, it seems to be dropping a bunch of values. tmp <- reshape(sampleData, direction = "wide",timevar = "delayValue", new.row.names = unique(sampleData$id) ) structure(list(delayValue = c("0", NA, "7", "8", "9", "10", NA, NA, "4", "5", "6", "7", "8",...

Hi List, I am building a package for a client to help them create and perform analyses against netcdf files which contain 'a temporal stack' of grids. For my examples and test cases, I create an example dataset in code (as this is a lot more space efficient than providing raw data). The code creates a netcdf file in tempdir() and an object of class 'ncdf' in the global namespace.