[R] Help with diff(sqrt()) function in terms of time series

year1 is the time series data set below 11.64 11.50 11.49 11.16 11.15 11.37 11.37 11.57 11.83 11.87 11.85 11.92 11.77 11.71 11.57 11.24 11.27 11.33 11.17 . With a total of 1304 rows of data. When I try to run the code: diff(sqrt(year10)) I get the response: "data frame with 0 col

Re: [R] Help regarding Time Series: CCF Function

I think I figured it out...The 2 data sets must have same number of data. -- View this message in context: http://r.789695.n4.nabble.com/Help-regarding-Time-Series-CCF-Function-tp2992988p2993061.html Sent from the R help mailing list archive at Nabble.com.

[R] Help regarding Time Series: CCF Function

Looking at 2 sets of time series data. Code below: > houst = read.table("C:/Documents/HOUST.txt",header=F) > houst = ts(houst, start = 1976,frequency = 12) > mortg = read.table("C:/Documents/mortg.txt",header=F) > mortg = ts(mortg, start = 1976,frequency = 12) The data for houst looks like: 1367

Re: [R] Help with Sink Function

Sorry about that. Still new to this... The code below should be reproducible.All R2 should just be 1, and I should write 1 to R2outputKKNN.txt 10 timesnothing is happening. Appreciate the efforts to help! for (i in 1:10) { adata = 1:5 bdata = 6:10 lm <- lm(adata

[R] Help with Sink Function

iterations <- 100 nvars <- 4 combined <- rbind(scaleMiceTrain, scaleMiceTest) reducedSample <- combined reducedSample <- subset(reducedSample, select = -pID50) reducedSample <- subset(reducedSample, select = -id) for (i in 1:iterations) { miceSample <- sample(combined[,-c(1,2)],nvars, repl

[R] Simple question regarding name of column headers

names(miceTrainSample) [1] "b_double" "KierA2""KierFlex" "Q_VSA_POS" "pID50" In the above code, how do I delete "pID50" column to store the resulting object without indicating column "5". The code below does the trick, but I wish to delete the column by specifying "-pID50" instead of "5".

Re: [R] How to delete a date frame from a data frame

The data set for "combined" is pretty huge, but a few columns looks like this, so just picture it with 187 columns: dw_area vdw_vol vsa_acc vsa_acid vsa_base vsa_donvsa_hyd 1 0.8322680 0.93714800 -0.478551 -0.2791860 -0.724420 1.4647400 2 1.8746300 1.2639 0.23148

Re: [R] How to delete a date frame from a data frame

But "miceSample" has multiple columns... For example if nvars=4, I have 4 columns of data to delete from "combined". Specifically, I have 187 columns in "combined", and "miceSample" only has 4 columns. So the new data frame should have 183 columns. -- View this message in context: http://r

[R] How to delete a date frame from a data frame

e.g. I have a big data set called "combined", and then a small sample of "combined" called "miceSample". I wish to delete "miceSample" from "combined" to create a new smaller data set and store it into a new object. combined <- rbind(scaleMiceTrain, scaleMiceTest) miceSample <- sample(combined[

[R] What is the opposite of rbind?

I combined 2 data frames together using rbind... How do I unbind the data at a specific row to create 2 separate data frames? -- View this message in context: http://r.789695.n4.nabble.com/What-is-the-opposite-of-rbind-tp2289244p2289244.html Sent from the R help mailing list archive at Nabble

Re: [R] Want to exclude a column when using sample function

Maybe I'm missing something, but after reading the reshape package, I'm still not quite sure how reshaping the data will help me with storing the previously used samples and preventing me from selecting previously used samples in the future. This is my pseudo code thought process, but I'm not s

Re: [R] Want to exclude a column when using sample function

Sorry to post multiple questions, but this is still related to the sample function. In my previous example, how do I save/store the current sample so when I run sample again (after analysis) I can exclude the samples that were previously chosen. For example if I have 180 factors or columns...an

Re: [R] Want to exclude a column when using sample function

id pID50 apol a_acca_acid a_aro a_base a_count 1 mol.11 3.63 -0.882267 -0.527967 -0.298197 -1.032380 0 -1.063410 2 mol.14 3.38 -1.007330 -0.527967 -0.298197 -1.032380 0 -1.063410 3 mol.19 3.18 1.153560 1.407910 -0.298197 1.254100 0 1.160080 4 mol.20

[R] Want to exclude a column when using sample function

For example: When I take a sample of 5 from 10 columns, I want to exclude from the sample column 1 from being chosen. How do I do this? -- View this message in context: http://r.789695.n4.nabble.com/Want-to-exclude-a-column-when-using-sample-function-tp2287988p2287988.html Sent from the R h

Re: [R] R2 function from PLS to use a model on test data

I figured out the answer. Since I have both the predicted and actual values, I simply need to call the lm function, and summary to see R^2 which matches what MOE provided. myline.fit <-lm( y~x) summary(myline.fit) -- View this message in context: http://r.789695.n4.nabble.com/R2-function-fro

[R] Column header strategy

Hopefully simple question: What is the best way to name, and treat factor columns for data that has lots of columns? This is my column list: id pID50 D.1 D.2 D.3 D.4 D.5 , etc. all the way to D.185 I was under the impression from several R examples in pls that if you name your columns like ab

[R] How do I unsubscribe from the mailing list?

Hello, I have tried multiple times to unsubscribe from the general mailing list to no avail. I only wish to receive emails when someone posts a response in my thread. How do I do this? Thanks. -- - Addi __ R-help@r-project.org mailing list https:/

[R] R2 function from PLS to use a model on test data

Hello, I am having some trouble using a model I created from plsr (of train) to analyze each invididual R^2 of the 10 components against the test data. For example: mice1 <- plsr(response ~factors, ncomp=10 data=MiceTrain) R2(mice1)##this provides the correct R2 for the Train data for 1