Re: [R] Regarding Principal Component Analysis result Interpretation

This list is about R programming, not statistics, although they do often intersect. Nevertheless, this discussion seems to be all about the latter, not the former, so I think you would do better bringing it to a statistics list like stats.stackexchange.com rather than here. Cheers, Bert Bert

Re: [R] require help

thanks, eric../ actually I have the data which have not specify the months. therefore i bound to declare is in yearly data. i also attached a sample data set that may be helpful for you to providing suggestions. thank you On Fri, Sep 15, 2017 at 5:23 PM, Ismail SEZEN

Re: [R] Regarding Principal Component Analysis result Interpretation

First, see the example at https://isezen.github.io/PCA/ > On 15 Sep 2017, at 13:43, Shylashree U.R wrote: > > Dear Sir/Madam, > > I am trying to do PCA analysis with "iris" dataset and trying to interpret > the result. Dataset contains 150 obs of 5 variables > >

Re: [R] Calculating Weeks Since Last Event

Try this: # supplied data library(zoo) # need the 'na.locf' function x <- structure(list(ScanDate = structure(c(16433, 16440, 16447, 16454, 16461, 16468, 16475, 16482, 16489, 16496, 16503, 16510, 16517,

Re: [R] require help

> On 15 Sep 2017, at 16:35, Berend Hasselman wrote: > >> >> On 15 Sep 2017, at 11:38, yadav neog wrote: >> >> hello to all. I am working on macroeconomic data series of India, which in >> a yearly basis. I am unable to convert my data frame into time

Re: [R] require help

> On 15 Sep 2017, at 11:38, yadav neog wrote: > > hello to all. I am working on macroeconomic data series of India, which in > a yearly basis. I am unable to convert my data frame into time series. > kindly help me. > also using zoo and xts packages. but they take only

Re: [R] How to add make option to package compilation?

On 09/15/2017 08:57 AM, Michael Dewey wrote: In line On 15/09/2017 13:30, Martin Møller Skarbiniks Pedersen wrote: On 15 September 2017 at 14:13, Duncan Murdoch wrote: On 15/09/2017 8:11 AM, Martin Møller Skarbiniks Pedersen wrote: Hi, I am installing a lot

Re: [R] How to add make option to package compilation?

In line On 15/09/2017 13:30, Martin Møller Skarbiniks Pedersen wrote: On 15 September 2017 at 14:13, Duncan Murdoch wrote: On 15/09/2017 8:11 AM, Martin Møller Skarbiniks Pedersen wrote: Hi, I am installing a lot of packages to a new R installation and it

Re: [R] How to add make option to package compilation?

On 15 September 2017 at 14:13, Duncan Murdoch wrote: > On 15/09/2017 8:11 AM, Martin Møller Skarbiniks Pedersen wrote: > >> Hi, >> >>I am installing a lot of packages to a new R installation and it takes >> a >> long time. >>However the machine got 4 cpus and

Re: [R] How to add make option to package compilation?

On 15/09/2017 8:11 AM, Martin Møller Skarbiniks Pedersen wrote: Hi, I am installing a lot of packages to a new R installation and it takes a long time. However the machine got 4 cpus and most of the packages are written in C/C++. So is it possible to add a -j4 flag to the make command

[R] How to add make option to package compilation?

Hi, I am installing a lot of packages to a new R installation and it takes a long time. However the machine got 4 cpus and most of the packages are written in C/C++. So is it possible to add a -j4 flag to the make command when I use the install.packages() function? That will probably

Re: [R] Regarding Principal Component Analysis result Interpretation

Usually, PCA is used for a large number of features. FactoMineR [1] package provides a couple of examples, check for temperature example. But you may want to consult to basic PCA material as well, I suggest a book from Chris Bishop [2]. [1]

Re: [R] require help

> On 15 Sep 2017, at 12:38, yadav neog wrote: > > hello to all. I am working on macroeconomic data series of India, which in > a yearly basis. I am unable to convert my data frame into time series. Do you really need to convert your data to time series/xts/zoo? I don’t

Re: [R] require help

You did not provide the data frame so I will first create one and then use it to create an xts library(xts) df <- data.frame( year=1980:2009, cnsm=sample(170:180,30,replace=TRUE), incm=rnorm(30,53,1), wlth=rnorm(30,60,1)) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <-

[R] Regarding Principal Component Analysis result Interpretation

Dear Sir/Madam, I am trying to do PCA analysis with "iris" dataset and trying to interpret the result. Dataset contains 150 obs of 5 variables Sepal.Length Sepal.Width Petal.Length Petal.Width Species 1 5.13.5 1.4 0.2

[R] require help

hello to all. I am working on macroeconomic data series of India, which in a yearly basis. I am unable to convert my data frame into time series. kindly help me. also using zoo and xts packages. but they take only monthly observations. 'data.frame': 30 obs. of 4 variables: $ year: int 1980

[R] Calculating Weeks Since Last Event

Hi, I have an input data > dput (input) structure(list(ScanDate = structure(c(16433, 16440, 16447, 16454, 16461, 16468, 16475, 16482, 16489, 16496, 16503, 16510, 16517, 16524, 16531, 16538, 16545, 16552, 16559, 16566, 16573, 16580, 16587, 16594, 16601, 16608, 16615, 16622), class = "Date"),

Re: [R] compounding precipitation based on whether falls within a day

Hi Eric, Bert's solution is very elegant. His final comment prompted me to check out the aperm() function which I have never used. The final step to complete his response is prec_daily2 <- aperm(prec_daily, c(3,1,2)) Regards On Wed, Sep 13, 2017 at 9:06 PM, Bert Gunter

[R] [R-pkgs] New CRAN Package Announcement: asciiSetupReader

I'm pleased to announce that asciiSetupReader is now on CRAN: https://cran.r-project.org/web/packages/asciiSetupReader/index.html This package allows users to read ASCII files that have an SPSS or SAS setup file (.sps or .sas). Datasets that come in these txt-sps and txt-sas paris can now be