search for: column2

R-help, I have a data frame wich I subset like : a <- subset(df,df$"column2" %in% c("factor1","factor2") & df$"column2"==1) But when I type levels(a$"column2") I still get the same levels as in df (my original data frame) Why is that? Is it right? Luis Luis Ridao Cruz Fiskiranns??knarstovan N??at??n 1 P.O. Box 3051 FR-1...

...eros. Curabitur fringilla dui ac dui rutrum pretium. Donec sed magna adipiscing nisi accumsan congue sed ac est. Vivamus lorem urna, tristique quis accumsan quis, ullamcorper aliquet velit." > tmpDF <- data.frame(Column1=rep(unlist(strsplit(loremIpsum," ")),length.out=510),Column2=runif(510,min=0,max=1e8)) is to be split into DFs with 50 entries in an ordered manner according to column2 (first DF ist o contain the rows with the 50 largest numbers, ...). Here is what I have been doing: > binSize <- 50 > splitMembership <- pmin(ceiling(order(tmpDF[["Colum...

...nse variable output$column_selector_1 <- renderUI({ req(data()) selectInput("column1","Select response variable", choices = names(data())) }) # Select first independent variable output$column_selector_2 <- renderUI({ req(data()) selectInput("column2", "Select first independent variable", choices = names(data())) }) # Select second independent variable output$column_selector_3 <- renderUI({ req(data()) selectInput("column3", "Select second independent variable", choices = names(data())) })...

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 mandriva200...

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 suggestions. andreas wolf

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 outputs th...

Hi, All, Suppose I have a CSV file, there is data in it. * Column 1 Column2 Column 3 Column 4 Row1 a b c Row2 a2 b2 c2* You know, the column 4 is no data Now, I would like to insert data to Column 4, after save, the CSV file will be: * Colu...

...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 = > TRUE)] > dt[, column2 := janitor::make...

...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","column2")), mc.cores = numcores)...

...nt. 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 and should eliminate the warning message maintaining compatibility with? future updates of the `data.table` pa...

...rame has 20 variables (“cocolumns") and 525 observations (“rows”). All variables are numeric. I want to create a new dataframe that also has 20 columns and 525 rows. The values in this dataframe should be the sum of the 2 other dataframe. (i.e. temp1$column 1+temp2$column1, temp1$column2+temp2$column2, etc) What is the best/easiest way to accomplish this? Is I wish to "multiply" (instead of sum) the columns, how do I? I tried: temp3<-as.matrix(temp1)+as.matrix(temp2) I get the following error message: “Error in as.matrix(temp1) + as.matrix...

...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 = > TRUE)] > dt[, column2 := janitor::make_cl...

Hi ? I have a file. list.txt (two columns) ? column1??? column2 name??????? address ? ? I need to put in the letter file letter.txt eg: ? Dear: Chloe Address: CA ? Can I use this ? for i `cat list.txt` | sed 's/Chloe/$i.1; /CA/$i.2/g' $i.letter.txt ? Thank you for your help ? ? ? ? ? _____________________________________________________________...

...;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, Yes Any...

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) Error: s...

...n_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:...

...52 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(dat1)<-tolower(gsub(&q...

...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("f...

...lt;- 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 =? &gt...