search for: column1

...and coding Ruby in Rails, however it''s my 3rd day with this beast :) so I''m asking : When I added protected methods to the model before it was like: protected method.................... end Would this be a valid way to write a protected method as well ?: attr_protected :column1, :column2 Perhaps this particular call is already protected inherent to the call, yet do I need to surround it with "protected" and "end" ? TIA Stuart -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/...

Hello, Is it possible to scroll a canvas that has a column of listboxes in it? Does scrolling only work with listboxes and text widgets? The following code displays the scrollbar, but - it has no thumb - does not respond to mouse clicks. - the vertical height of the tkcanvas (i.e. column1) is unconstrained. It's lower edge is out of view, and the lower button on the scrollbar is out of view. I expected the scrollbar and canvas to have a height of 200 pixels and to be able to use the scrollbar to bring different listboxes into view. I created this from examples on the forum, but...

Readers, I have entered a file into r: ,column1,column2 row1,0.1,0.2 row2,0.3,0.4 using the command: dataframe<-read.table("/path/to/file.csv",header=T,row.names=1) When I try the command: dataframe[,2] I receive the response: NULL I was expecting: row1 0.2 row2 0.4 What is my error with the syntax please? Yours, r251 man...

is there a smart way of determining the number of pairwise present data in a data matrix with missings (maybe as a by-product of some statistical function?) so far, i used several loops like: for (column1 in 1:99) { for (column2 in 2:100) { for (row in 1:500) { if (!is.na(matrix[row,column1]) & !is.na(matrix[row,column2])) { pairs[col1,col2] <- pairs[col1,col2]+1 } } } } but this seems neither the most elegant nor an utterly fast solution. thanks for suggesti...

Hello to all is there a function wich splits a data.frame (column1,column2,column3,....) into data1 <-(column1,column3....) #column2 = 1 data2 <-(column1,column3....) #column2 = 2 data3 <-(column1,column3....) #column2 = 3 ... Regards Knut

I am writing a custom function that uses an R-function from the reshape package: cast. However, my question could be applicable to any R function. Normally one writes the arguments directly into a function, e.g.: result=cast(table1, column1 + column2 + column3 ~ column4, mean) (1) I need to be able to write this statement as follows: result=cast(table1, string_with_columns ~ column4, mean) (2) string_with_columns = group of functions that ultimately outputs: "column1 + column2 + column3" Statement 1...

...; library(arrow) > > # Step A: Load data efficiently as data.table > dt <- as.data.table( > open_dataset( > sources = input_files, > format = 'csv', > unify_schema = TRUE, > col_types = schema( > "ID_Key" = string(), > "column1" = string(), > "column2" = string() > ) > ) |> > collect() > ) > > # Step B: Clean names once > # Assume `crewjanitormakeclean` essentially standardizes column names > dt[, column1 := janitor::make_clean_names(column1, allow_dupes = >...

...it works, and takes about 15 minutes on our server configuration: temp <- ??????open_dataset( ????????????sources = input_files, ????????????format = 'csv', ????????????unify_schema = TRUE, ????????????col_types = schema( ????????????"ID_Key" = string(), ????????????"column1" = string(), ????????????"column2" = string() ????????????) ??????) |> as_tibble() ?????? ??keeptabs <- split(temp, temp$ID_Key) if(isTRUE(multicore)){ keeptabs <- mclapply(1:length(keeptabs), function(i) crewjanitormakeclean(keeptabs[[i]],c("column1",&q...

Hi everyone, Hi want to separate the string(column1) for example column1 column2 column3 column4 column5 column6 bear b e a r cat c a t tiger t i g e r I know how to do this in excel where using MID function. Now I want...

...ct to `reshape2::dcast()`, but since that appears to be deprecated, it will fail in future versions at some point. To avoid this, consider converting?`keeptabs` into a `data.table` directly before calling `dcast()`. For example: >?setDT(keeptabs) > out1 <- dcast(keeptabs, ID_Key ~ column1, fun.aggregate = length, value.var = "column1") > out2 <- dcast(keeptabs, ID_Key ~ column2, fun.aggregate = length, value.var = "column2") If?`keeptabs` is a `data.table` at the time of calling `dcast()`, this ensures the `data.table` method of `dcast()` is used...

...; library(arrow) > > # Step A: Load data efficiently as data.table > dt <- as.data.table( > open_dataset( > sources = input_files, > format = 'csv', > unify_schema = TRUE, > col_types = schema( > "ID_Key" = string(), > "column1" = string(), > "column2" = string() > ) > ) |> > collect() > ) > > # Step B: Clean names once > # Assume `crewjanitormakeclean` essentially standardizes column names > dt[, column1 := janitor::make_clean_names(column1, allow_dupes = > TR...

Hi all. I am wrting a small content management tool for my company and was trying to display some images from our file store shown below. <td> <img src="\\xx.xx.xxx.xx\xx\xx\xxx\abc.gif"/> The app was displaying the image when it is under the \public\images directory. Is there anything special we need to do to get a file from outside the root of the application? Any help

...be "Yes", however if any one of the three existing variables is a "No", then then new variable should be a "No". I would then use that new variable as an exclusion for data in a new or existing dataset (i.e., if NewVariable = "No" then delete): Take this: Column1, Column2, Column3 Yes, Yes, Yes Yes, No, Yes No, No, No No, Yes, No Yes, Yes, No Generate this: Column1, Column2, Column3, NewVariable1 Yes, Yes, Yes, Yes Yes, No, Yes, No No, No, No, No No, Yes, No, No Yes, Yes, No, No And end up with this: Column1, Column2, Column3, NewVariable1 Yes, Yes, Yes,...

Hi, I have written boxplot commands of this form before, but I don''t quite understand why the function call is reporting a syntax error in this instance. All parameters passed to the function are strings. Thanks in advance. Payam > simplevar <- function(wframe,column1,column2) { + tframe <- get(wframe) + x1 <- which(names(wframe)==column1) + x2 <- which(names(wframe)==column2) + print(tframe[x1]) + print(tframe[x2]) + gtitle <- paste(names(tframe[x2])," vs. ", names(tframe[x1]) + quartz(width=7,height=5,dpi=200)...

I have a dataset called "raw-data" . I am trying to use the following code - col_name<-names(raw_data) for (i in 1:(length(names(raw_data))-2)) { tbl=table(raw_data$Pay.Late.Dummy, raw_data$col_name[i]) chisqtest<-chisq.test(tbl) } Say the 1st column of my raw_data is Column1. The idea is when i=1 then raw_data$col_name[i] will automatically become raw_data$Column1 , which is not happening. Kindly help? -- View this message in context: http://r.789695.n4.nabble.com/Replace-a-variable-by-its-value-tp4630734.html Sent from the R help mailing list archive at Nabble.com.

...t; > dt <- as.data.table( > > >?? open_dataset( > > >??? sources = input_files, > > >??? format = 'csv', > > >??? unify_schema = TRUE, > > >??? col_types = schema( > > >????? "ID_Key" = string(), > > >????? "column1" = string(), > > >????? "column2" = string() > > >??? ) > > >? ) |> > > > > >??? collect() > > > ) > > > > > > # Step B: Clean names once > > > # Assume `crewjanitormakeclean` essentially standardizes...

Hi all, Ive got a database with 10 columns (different variables) for 100 subjects, each column with different # of NA's. I'd like to know if it is possible to use a function to exclude the NA's using only a specific column, lets say: Data2 <- omit.exclude(Data1$column1) ??, then Data3 <- omit.exclude(Data1$column2) and so on I tried the code above but with no results Thanks for any help CM __________________________________ Yahoo! SiteBuilder - Free, easy-to-use web site design software

...a median value of 7.642552 but I only want it to be displayed as 7.6. Thank you so much for your help. I am very sorry for troubling you but I am very very new to this programming and to R as you can see. <quote author='arun kirshna'> Hi, Lines1<-readLines(textConnection("Column1 -1,2,3,4,5,6,6,7 COlumn2- 3,4,5,6,7,8,8 Column3-- 45,66,7,8,89, COlumn4-5,6,7,7,8,9 Column5 -5,6,7,8,8")) vec1<-unlist(strsplit(Lines1,"-")) dat1<-as.data.frame(t(read.table(text=vec1[grepl(",",vec1)],sep=",",fill=TRUE))) row.names(dat1)<-NULL colnames(...

...s which I want to analyze plot etc. Since this will be used many people at the department I wanted to make sure that will do this in the best way. For instance I want to read a snippets of data from a text that look like this. ------------------------------- Lots of stuff ... @@Start Values@@ Column1 Column2 Column3 ... Row1 1 2 3 ... ... @@End Values@@ More stuff ... @@Start OtherValues@@ Column1 Column2 Column3 ... Row1 1 2 3 ... ... @@End OtherValues@@ I looked in the help files and found grep which operates on character strings, do I have to like this then? 1. Read file with readLines...

...several times and like the results it gives me. I am now trying something with it that I have not been able to get to work. For any n column matrix I would like to run this function on those n columns and store the results. For example, if my matrix has 1 column then this is just expand.grid(x = column1). If my matrix has two columns, then I want expand.grid(x = column1, y = column2), and so on for any number of columns... In a program I am writing, the user can specify any matrix. Does anyone know of a way for R to calculate this based on what the input matrix is? e.g. if this user gives a 3...