search for: var10

Hi guys, I want to create variable on the fly: for example for (i in 1:10) { cat(paste("VAR",i,sep="")) } Will print VAR1, VAR2 etc up to VAR10. However I want to make these into variables, and then give them a value, for example: vect = c(10:20) for (i in 1:10) { cat(paste("VAR",i,sep="")) = vect[i] } THis doesnt work but I hope it demonstrates what I'm trying to do: I'm trying to produce 10 variables, f...

Dear all, I have a dataset that looks like this: x <- read.table(textConnection("col1 col2 3 1 2 2 4 7 8 6 5 10"), header=TRUE) I want to rewrite it as below: var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 1 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0...

...- c(0.44,0.07,0.49) range_prob[[8]]  <- c(0.54,0.06,0.40) range_prob[[9]]  <- c(0.26,0.62,0.12) range_prob[[10]] <- c(0.65,0.19,0.16)   pdf <- expand.grid(range_prob)   data_lab$probs <- apply(pdf, 1, prod)   joint_probs = xtabs(probs ~ Var1 + Var2+Var3+Var4+Var5+Var6+Var7+Var8+Var9+Var10, data = data_lab)   write.csv(data.frame(joint_probs), 'joint_probs.csv', row.names = FALSE) ONS = read.csv('joint_probs.csv')   Names = NULL   for (i in 1:length(joint_probs))  {        Names[i] = paste(ONS$Var1[i], ONS$Var2[i], ONS$Var3[i], ONS$Var4[i], ONS$Var5[i], ONS$Var6[i],...

Let's say I have a program that returns variables whose names may be any string within the vector NAMES=c("varA","varB","varC","varD","varE","varF"..."varZ"), but I do not ever know which ones have actually been created. So in one example output, "varA", "varC", and "varD" could exist, but

...ll,  I am not sure if this is the right place to ask this question, but I will have a go. Please redirect me to a different place if this is not the right one! I have a (relatively) simple problem which causes me some frustration because I cannot find the solution. I measure ten variables (var1 to var10) every day, they are all continuous (linear) and most of them are correlated. Some days, for any reason, the relationship between these variables may change. They are still correlated, but their correlation may change slightly but practically this is important. Or, one of the variables may increase...

...4 5 4 10 12 9 2 2 2 var5 4 5 4 10 9 10 3 2 3 var6 5 4 5 2 3 2 1 3 5 var7 5 4 5 7 7 7 3 3 3 var8 3 4 3 10 10 8 4 2 4 var9 3 4 3 2 2 2 2 2 2 var10 3 3 3 4 4 4 3 1 2 Table 2 unknown var1 23 var2 4 var3 7 var4 4 var5 4 var6 6 var7 5 var8 3 var9 3 var10 3 Thanks RS [[alternative HTML version deleted]]

...4 5 4 10 12 9 2 2 2 var5 4 5 4 10 9 10 3 2 3 var6 5 4 5 2 3 2 1 3 5 var7 5 4 5 7 7 7 3 3 3 var8 3 4 3 10 10 8 4 2 4 var9 3 4 3 2 2 2 2 2 2 var10 3 3 3 4 4 4 3 1 2 Table 2 unknown var1 23 var2 4 var3 7 var4 4 var5 4 var6 6 var7 5 var8 3 var9 3 var10 3 Thanks RS [[alternative HTML version deleted]]

...var12=c(1,2,2,4,5,3,2), var13=c(1,2,2,4,5,3,2), var14=c(1,2,2,4,5,3,2), var15=c(1,2,2,4,5,3,2), var16=c(1,2,2,4,5,3,2), var17=c(1,2,2,4,5,3,2), var18=c(1,2,2,4,5,3,2), var19=c(1,2,2,4,5,3,2), var10=c(1,2,2,4,5,3,2), var11=c(1,2,2,4,5,3,2), var12=c(1,2,2,4,5,3,2)) Any idea how I can plot varXX over day like xyplot(var11 ~ day, data=dta, type='b', scales=list(cex=0.5), xlab=NULL, ylab=list(cex=0.5)) and get readable graphs? Thanks in advance. Marcus

...g pca. I have tried using CLUSPLOT(), but that only allows for 'princomp' where I need 'prcomp' as I do not want to reduce my columns. Is there a way to edit the CLUSPLOT() code to use 'prcomp', please? # sample of my data PRVID,VAR1,VAR2,VAR3,VAR4,VAR5,VAR6,VAR7,VAR8,VAR9,VAR10,VAR11 PRV1,0,54463,53049,62847,75060,184925,0,0,0,0,0 PRV2,0,2100,76,131274,0,0,0,0,0,0,18 PRV3,967,0,0,0,0,0,0,0,0,3634,0 PRV4,817,18344,3274,9264,1862,0,0,141,0,0,0 PRV5,0,0,0,0,0,0,29044,0,0,0,0 PRV6,59,6924,825,3008,377,926,0,0,10156,0,5555 PRV7,11,24902,36040,47223,20086,0,0,749,415,0,0 libra...

var1 var2 var3 var4 var5 var6 var7 var8 var9 var10 gold 2 3 1 2 4 0 1 4 4 3 2 2 4 2 4 3 4 2 4 4 4 2 3 3 0 0 4 1 0 2 4 4 2 1 4 0 3 2 0 0 2 4 4 2 3 4 0 2 2 0 0 0 3 4 2 2 2 3 2 2 0 0 0 2 4 2 2 4 1 1 2 0 0 3 3 3 2 3 4 1 4 0 0 0 0 3 4 2 3 1 0 2 2 1 0 2 3 3...

...g to a R object. Let me describe this by an example; > dim(a) [1] 270 14 > dim("a") NULL > names(a) [1] "Var1" "Var2" "Var3" "Var4" "Var5" "Var6" "Var7" "Var8" "Var9" [10] "Var10" "Var11" "Var12" "Var13" "Var14" > names("a") NULL I realise that the character string lacks both a dimension and any column names; my question is how to make R understand that I look for the object a when I write "a". Like a typ...

...; > > > dim(a) > [1] 270 14 > > dim("a") > NULL > > > names(a) > [1] "Var1" "Var2" "Var3" "Var4" "Var5" "Var6" "Var7" > "Var8" "Var9" > [10] "Var10" "Var11" "Var12" "Var13" "Var14" > > names("a") > NULL > > I realise that the character string lacks both a dimension > and any column names; my question is how to make R understand > that I look for the object a when I...

...alytics) library(biglm) help(read.big.matrix) NIKA <- read.big.matrix("G:\\VAR.dat", header=TRUE, type="double", sep="\t") Reg <- biglm.big.matrix(formula = LAannualisiert ~ 0 + VAR01 + VAR02 + VAR03 + VAR04 + VAR05 + VAR06 + VAR07 + VAR08 + VAR09 + VAR10 + VAR11 + VAR12 + VAR13 + VAR14 + VAR15 + VAR16 + VAR17 + VAR18 + VAR19 + VAR21 + VAR22 + VAR23 + VAR24 + VAR25 + VAR26 + VAR27 + VAR28 + VAR29 + VAR30 + VAR31 + VAR32 + VAR33 + VAR34 + VAR35 + VAR36 + VAR37 + VAR38 + VAR39, weights = ~Gewicht , data = NIKA) summary(Reg) Bes...

Hi, Is it possible to create new vars in a loop For instance: for (i in 1:11) var'i' <- assign something output = var1 var2 ... var11 Is there a way to combine/join the value of 'i' to the string/char var in de loop. -- View this message in context: http://www.nabble.com/join-chars-in-loops-tp16895854p16895854.html Sent from the R help mailing list archive at

...ts, so they are easy comparable. Is there any way to do this in R? Below is a small sample of the data (from SPSS) and the desired output. Thanks, Danny *Sample Data. DATA LIST LIST /id(F8) var1(F8.2) var2(F8.2) var3(F8.2) var4(F8.2) var5 (F8.2) var6(F8.2) var7(F8.2) var8(F8.2) var9(F8.2) var10(F8.2) var11(F8.2). BEGIN DATA. 10170069 3.51 4.02 6.53 11.05 6.53 8.04 13.57 20.10 11.05 8.55 7.04 10190229 1.89 5.66 4.61 7.62 8.45 13.21 9.50 20.82 16.07 9.36 3.77 10540023 3.40 5.08 3.39 4.52 10.18 14.71 13.56 16.38 9.60 7.89 11.85 10650413 6.64 6.64 3.73 4.70 3.78 13.23 19.82 15.98 12.26 8.4...

I am trying to Sweave the output of calculating correlations between one variable and several others. I wanted to print a table where the odd-numbered rows contain the variable names and the even-numbered rows contain the correlations. So if VarA is correlated with all the variables in mydata.df, then it would look like var1 var2 var3 corr1 corr2 corr3 var4 var5

I have a dataframe called "data" with 5 records (in rows) each of which has been scored on each of many variables (in columns). Five of the variables are named var1, var2, var3, var4, var5 using headers. The other variables are named using other conventions. I can create a new variable called var6 with the value 15 for each record with this code: > var6=var1+var2+var3+var4+var5