reshape2

问题 From what I read, *cast operations in reshape2 lost their result_variable feature. Hadley hints at using plyr for this purpose (appending multiple result columns to the input data frame). How would I realize the documentation example ... aqm <- melt(airquality, id=c("month", "day"), na.rm=TRUE) cast(aqm, month ~ variable + result_variable, range) using reshape2 ( dcast ) and plyr ( ddply )? 回答1: This question has multiple answers, due to the flexibility of the 'reshape2' and 'plyr' packages.

问题 From what I read, *cast operations in reshape2 lost their result_variable feature. Hadley hints at using plyr for this purpose (appending multiple result columns to the input data frame). How would I realize the documentation example ... aqm <- melt(airquality, id=c("month", "day"), na.rm=TRUE) cast(aqm, month ~ variable + result_variable, range) using reshape2 ( dcast ) and plyr ( ddply )? 回答1: This question has multiple answers, due to the flexibility of the 'reshape2' and 'plyr' packages.

问题 This question already has answers here : Reshaping multiple sets of measurement columns (wide format) into single columns (long format) (7 answers) Closed 2 years ago . I have a wide dataframe that looks something like this: ID Time Amount CabMean CabNum PartMean PartNum DinnMean DinNum Ex 1 1 1 27 0.654621546 8 NA 7 0.316791872 6 0 2 1 2 82 0.667461321 3 0.327594876 4 0.346798127 2 1 3 1 3 52 0.313976132 1 NA 6 0.197837257 7 0 4 1 4 99 0.798328712 9 0.913751678 4 0.191679538 9 1 I would like

问题 I have a list of lists that have names. I want to add them all together into a dataframe but keep all the columns past_earnings_lists[1] successfully returns one list from the list of lists names(past_earnings_lists)[1] successfully returns the name of the list past_earnings <- melt(past_earnings_lists) puts all the data in one data frame but doesn't keep structure past_earnings <- as.data.frame.matrix(past_earnings_lists$ADBE) successfully takes one list and keeps the structure but doesn't

问题 This is my data.frame: library(data.table) df<- fread(' predictions Label 3 A 4 B 5 C 1 A 2 B 3 C ') Desired Output: A B C 3 4 5 1 2 3 I am trying DesiredOutput<-dcast(df, Label+predictions ~ Label, value.var = "predictions") with no success. Your help is appreciated! 回答1: Maybe the base R function unstack is the cleanest solution: unstack(df) A B C 1 3 4 5 2 1 2 3 Note that this returns a data.frame rather than a data.table, so if you want a data.table at the end: df2 <- setDT(unstack(df))

问题 In following Hadley Wickham's "Practical tools for exploring data and models" examples in section 2.4, Casting molten data I'm getting Error: could not find function "cast" . I have the reshape2 package installed and loaded. > cast(msmithsm, time + subject ~ variable) Error: could not find function "cast" 回答1: In reshape2 , cast() has been replaced by two functions: acast() and dcast() . From ?cast , in package reshape2 : Description: Use ‘acast’ or ‘dcast’ depending on whether you want

问题 In following Hadley Wickham's "Practical tools for exploring data and models" examples in section 2.4, Casting molten data I'm getting Error: could not find function "cast" . I have the reshape2 package installed and loaded. > cast(msmithsm, time + subject ~ variable) Error: could not find function "cast" 回答1: In reshape2 , cast() has been replaced by two functions: acast() and dcast() . From ?cast , in package reshape2 : Description: Use ‘acast’ or ‘dcast’ depending on whether you want

问题 I have a script which requires both reshape and reshape2 libraries. I know this is poor practise, but I think plyr (or another library I am using) Vennerable is loading reshape and I have personally used reshape2 in a lot of places. The problem is that the masking of reshape2 by reshape is causing problems for the melt function # Example data frame df <- data.frame(id=c(1:5), a=c(rnorm(5)), b=c(rnorm(5))) # With just reshape2, variable and value columns are labelled correctly library(reshape2

问题 I have two columns, would like to retain only the non commutative rows.For the data below my output should contain one combination of (1 2). i.e. for my query (1 2) is same as (2 1). Is there a simple way to do it in R. Already tried transposing. and retaining the upper traingular matrix. but it becomes a pain re transposing back the data. A B prob 1 2 0.1 1 3 0.2 1 4 0.3 2 1 0.3 2 3 0.1 2 4 0.4 My final output should be: A B prob 1 2 0.1 1 3 0.2 1 4 0.3 2 3 0.1 2 4 0.4 回答1: We can use data

问题 I have a table like this, > head(dt2) Weight Height Fitted interval limit value 1 65.6 174.0 71.91200 pred lwr 53.73165 2 80.7 193.5 91.63237 pred lwr 73.33198 3 72.6 186.5 84.55326 pred lwr 66.31751 4 78.8 187.2 85.26117 pred lwr 67.02004 5 74.8 181.5 79.49675 pred lwr 61.29244 6 86.4 184.0 82.02501 pred lwr 63.80652 I want it to have like this, > head(reshape2::dcast(dt2, Weight + Height + Fitted + interval ~ limit, fun.aggregate = mean)) Weight Height Fitted interval lwr upr 1 42.0 153.4