similar to: Removing columns that are na or constant

Hi, Can someone please help me on below issue I am facing : I am trying to play with returning a dataframe+2 variables using a fn. But facing an issue : Error in Logic_fn(c(x, y)) : argument "y" is missing, with no default This is the code I am using : x <- 0 y <- 0 Logic_fn <- function(x,y){ x <- x + 1 y < y + 1 test_data <- rbind(x,y) test_data <-

The returned values are in the list you assign to test_data, the original x and y are not modified, i.e the returned value for x will be test_data[[1]] and for y will be test_data[[2]]. Using the same variable names in the function and test is perhaps what is leading to confusion. > On 28 Jul 2017, at 09:13, Vijaya Kumar Regati <VijayaKumar.Regati at m3bi.com> wrote: > > Hi, >

Hi, That was very useful information. Thanks. But still I am not able to get the desired output with updated code. Kindly help if you have any further thoughts ... Updated code : x <- 0 y <- 0 Logic_fn <- function(x,y){ print("Passed Values") print(x) print(y) x <- x + 1 y <- y + 1 print("After addition :") print(x) print(y) test_data <- rbind(x,y)

c() is used for constructing vectors. Or in other words using the method c(x,y) provides a vector of length 2 (hopefully). Therefore, you are pushing a single vector to your function and not two arguments as you want. It should be Logic_fn(x,y) not Logic_fn(c(x,y)). Furthermore, i would recommend reading up on how function constructs work. Two return statements within a function are redundant

Hi, I have a process using svm from the e1071 library. it works. I want to try using the KSVM library instead. The same data used wiht e1071 gives me an error with KSVM. My data is a data.frame. sample code: svm_formula <- formula(y ~ a + B + C) svm_model <- ksvm(formula, data=train_data, type="C-svc", kernel="rbfdot", C=1) I get the following error:

Hi All, This might be simple question, I need to retrive data for modelling from the databases. Eveytime date values changes so I countnot fix date value in the code, it is required to pass as parameter. When I pass the date as parameter, it throws error. (ERROR: column "start_dt" does not exist Position: 285) My script is as below, please guide me where am I going wrong? All parameters

Hi all, I am wondering in R, suppose I did the principal component analysis on training data set and obtain the rotation matrix, via: > pca=prcomp(training_data, center=TRUE, scale=FALSE, retx=TRUE); Then I want to rotate the test data set using the > d1=scale(test_data, center=TRUE, scale=FALSE) %*% pca$rotation; > d2=predict(pca, test_data, center=TRUE, scale=FALSE); these two

Hi, I am reading in a dataframe from a CSV file. It has 70 columns. I do not have any kind of unique "row id". rawdata <- read.table("r_work/train_data.csv", header=T, sep=",", na.strings=0) When training an svm, I keep getting an error So, as an experiment, I wrote the data back out to a new file so that I could see what the svm function sees.

Dear R.oo package users, while testing some functionality of the R.oo, I found that during the first construction of a object from a class, the constructor is twice called, but only one object is finalized. In all subsequent creation processes, the constructor is (expectedly) called once. Here some example code: library(R.oo) setConstructorS3("Test_class",function(val) {

Hi everybody I wrote a couple of months ago about implementing the opus codec on a DK52 from Nordic (nrf52832 MCU, Cortex M4). In the meantime I got a bit further and would again like to ask some questions. My settings: I included all the opus files into my project (opus-1.2.1) Defined: FIXED POINT, VAR_ARRAYS, DISABLE FLOAT API, OPUS_BUILD, CELT_MODE_ONLY I am able to allocate enough memory

Hello, I try config puppet with foreman frontend. Into puppetmasterd I create modules "test" and create init.pp: # Create "/tmp/testfile" if it doesn''t exist. class test_class { file { "/tmp/testfile": ensure => present, mode => 644, owner => root, group => root } } Configure nodes in site.pp and import

I have a data matrix with genes as columns and samples as rows. I want to create all possible gene ratios.Is there an elegant and fast way to do it in R and write it to a dataframe? Thanks for any help. Som. -- View this message in context: http://r.789695.n4.nabble.com/Calculating-all-possible-ratios-tp4627405.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML

Buenas Alguien sabe como se hacen las predicciones de las series temporslea usando keras? Baaado en esto: https://tensorflow.rstudio.com/blog/time-series-forecasting-with-recurrent-neural-networks.html He intentado hacer un predict_generator(test_data) pero siempre me devuelve el error de que el array no coincid con las dimensiones Gracias!! Obtener Outlook para

Hello! I am trying with this question again: I would like to test few distributional assumptions for some behavioral response data. There are few theories about true distribution of those data, like: normal, lognormal, gamma, ex-Gaussian (exponential-Gaussian), Wald (inverse Gaussian) etc. The best way would be via qq-plot, to show to students differences. First two are trivial: qqnorm(dat$X)

Make these structures const as they are only passed to the function drm_fb_helper_prepare and the corresponding argument is of type const. Done using Coccinelle @match disable optional_qualifier@ identifier s; @@ static struct drm_fb_helper_funcs s = {...}; @ref@ position p; identifier match.s; @@ s at p @good1@ identifier match.s; expression e1,e2; position ref.p; @@

Make these structures const as they are only passed to the function drm_fb_helper_prepare and the corresponding argument is of type const. Done using Coccinelle @match disable optional_qualifier@ identifier s; @@ static struct drm_fb_helper_funcs s = {...}; @ref@ position p; identifier match.s; @@ s at p @good1@ identifier match.s; expression e1,e2; position ref.p; @@

On Mon, Nov 13, 2017 at 02:56:12PM +0100, Cédric Bosdonnat wrote: > +let checksums_get_sha512 = function > + | None -> None > + | Some csums -> > + try > + Some (List.find ( > + function > + | Checksums.SHA512 _ -> true > + | _ -> false > + ) csums) > + with Not_found -> None This is still a bit

Hello all, I''m running puppet for the first ime. I''ve finished the install but I''m stuck at the certificate part. The puppet master (0.24.4-3) is running on Ubuntu Lenny and the puppet client (0.24.8-4.el5) is running on CentOS 5.3. After the install, from the client side, I''ve run: puppetd --server puppetmaster.domain.com --waitforcert 60 --test On the

Es justo ese ejemplo el que estoy mirando, pero no sale la prediccion He probado a cambiar la funcion generadora, haciendo que devuelva como lista solo los input, pero sigue devolviendo error: Error in py_call_impl(callable, dots$args, dots$keywords) : ValueError: Error when checking model : the list of Numpy arrays that you are passing to your model is not the size the model expected.

Hi there! Here is the latest version of the series including Richard's comments. I also reworked the repository_main.ml code to avoid setting an empty entry if not found. Cédric Bosdonnat (3): builder: change arch type to distinguish guesses builder: add a template parameter to get_index New tool: virt-builder-repository .gitignore | 4 +