similar to: "Large" data set: performance issue

hello list, when I use method lda of the MASS package I experience a warning: variables are collinear in: lda.default(data[train, ], classes[train]) Is there an easy way to recover from this issue within the MASS package? Or how can I tell how severe this issue is at all? I understand that I shouldn't use lda at all with collinear data and should use "quadratische" (squared?)

Hi all, currently I'm working with physical data stored in a data.frame. I have N observations, typically 100-300 per data set. Each row in a set holds M (typically 2100) variables which represent a curve. For linear discriminant analysis I chose first to do a wavelet transform (because M >> N) and then feed the transformed data (of level L) in lda. This works fine (e.g. error <

Hi, how can I scale the x- and y-axis of a "plot" to the same scale? My problem: The following command sequence produces the plot in a square. What I want is the x-axis to be 5 times as wide (measured e.g. in pixels) as the y-axis is long (because y ranges from -1 to 1 and x ranges from 0 to 10). x <- seq( from=0, to=10, by=.1) sinx <- sin(x) plot( x, sinx, type="l")

> On Apr 17, 2018, at 10:10 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Hi all > > I have a list of multiple datframes with the same column headers. The last column in each datframe contains a vector of "Interval" class after I have produced this column using "lubridate" package. I needed to convert my list of dataframes to be in a single

Hi all I have a list of multiple datframes with the same column headers. The last column in each datframe contains a vector of "Interval" class after I have produced this column using "lubridate" package. I needed to convert my list of dataframes to be in a single dataframe for further analysis. I did this using the following syntax : SingleDataframe <- ldply

Hi, I'm writing for a little help. I have a dataframe with same NA value and I'd like to obtain the means of the value of a coloumn grouped by the levels of a factor coloumn of the datframe. I'm using the function "tapply" but I see that if only a NA value is present the result is NA. There is an option to have the correct result or I must use an other function? Thanks of

Hi, I have managed to format my data into a single datframe consisting of two AsIs response and predictor dataframes in order to supply the plsr command of the pls package for principal components analysis. When I execute the command, however, I get this error: > fiber1 <- plsr(respmat ~ predmat, ncomp=1, data=inputmat,validation="LOO") Error in model.frame.default(formula =

Hallo! I have a problem with fitting data with nls. The first example with y1 (data frame df1) shows an error, the second works fine. Is there a possibility to get a fit (e.g. JMP can fit also data I can not manage to fit with R). Sometimes I also got an error singularity with starting parameters. # x-values x<-c(-1,5,8,11,13,15,16,17,18,19,21,22) # y1-values (first data set)

I am still searching for a solution to what i think is a simple problem i am having with building a vector in a for loop. I have built a more understandable example so hopefully that will help..help you, help me, if you know what i mean. dev=400 #test location model TAZs to reference cands=c(101,105,109) #Create Object of length of cands candslength=length(cands) #TEST TAZ Vector

Dear r-help reader, I have some problems with the aggregate function. My datframe looks like >frame Day Time V1 V2 1 M 0 3 NA 2 M 0 4 NA 3 M 0 5 2 4 M 1 NA 4 5 M 1 10 6 6 T 0 4 45 7 T 1 4 3 8 T 1 3 2 9 T 1 6 1 I used the aggegate function to obtain the mean in V1 and V2 over the grouping variable Time and Day

Hi I have 3 dataframes, a,b,c with 0/1 values...i have to check a condition for dataframe a and b and then input the rows ids to datframe c . In the if condition, I AND the 2 rows of from a and b and then see if the result is equal to one of them. I have done this using a for loop, however, it takes a long time to execute with larger dataset..Can you help me do it using apply function so that i

Hallo! I want to fit a function. The function is e.g.: y = c+m1*x if x<0, c+m2*x if x>=0 where m1, m2 and c is a parameter and x, y are variables of a data frame. I think using nls is appropriate. But I do not know, how to type this formula in nls. Can anybody help? (If there is a possibility to use a Heaviside-function this would be enough.) Karl

Hello everybody, first I would like to apologize my consulting request on this help list but I couldn't find any ressources about consulties on the net. In our company we are searching on alternatives to SPSS and after a very short test, R could satisfy our needs completly. Unfortunately we are not able to cover all required features, like a little more sophisticated tabularization, an

Hi Neha, Perhaps merge() from base or join from dplyr is what you are looking for. data. table could also be interesting. Hth Ulrik On Wed, 2 May 2018, 21:28 Neha Aggarwal, <aggarwalneha2000 at gmail.com> wrote: > Hi > > I have 3 dataframes, a,b,c with 0/1 values...i have to check a condition > for dataframe a and b and then input the rows ids to datframe c . In the if >

Hi friends, If someone can find out some time to go through my problem would be really grateful. I have a dataset(dataset1) as shown below:-- recmeanC1 recmeanC2 recmeanC3 recmeanC4 i1 i2 i3 i4 i5 i6 i7 i8 i9 i10 i11 1 NA 1 1.00 1.800000 NA 1 NA 1 1 NA 2 2 2 NA 2 2 2 2 1.00

On Fri, 17 Aug 2001, Patrick Connolly wrote: > |> The data are stored in a MySQL table, and I can read them > |> into R with RMySQL obtaining a MySQLResultSet object (which I > |> suppose is a data frame ?) which looks like this: > > No, it doesn't have any column names. It would be a good idea to get > it into one since dataframes are very good ways of

Hello all R gurus, I have a following problem which I hope someone will help me to solve. I have a data.frame in form similar to below. > testframe<-data.frame("Name"=c("aa","aa","aa","aa","aa","bb","bb","bb","bb","bb"),"Value"=c(1,100,1,1,1,100,100,100,100,1))

org.omegahat.R.Java.REvaluator e = new org.omegahat.R.Java.REvaluator(); Object val = e.eval("objects()"); if(val != null) { String[] objects = (String[])val; for(int i = 0 ; i < objects.length; i++) System.err.println("("+i+") " + objects[i]); } hello, thanks to Philippe Grosjean's work I finally got SJava working (on Windows XP!!), so that I can

hello all, for my diploma-thesis i want to statitically analyze near-infrared-spectra. a spectrum is given by the y-values of 1038 equi-distant x-points. in nature, a spectrum is a continuous curve. for analysis, every x-point is seen as a statistical variable. now my problem: first, i read a csv-table in a data.frame called sTable via read.table. besides some meta-data there are 1038 variables

I am hoping for some advice regarding ordering a dataframe, by date. The dataframe is in the format below. $story $datepub story10 1 April 1999 story 90 1 March 2002 story 37 10 July 1985 I want to reorder the entire dataframe so the earliest story is first, and save the reordered dataframe. The command, 'class' (datepub) reveals $datepub is a factor variable. I tried