reshape2

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . I have data frame like this: V1 V2 LABEL 1 83965 891552 A 2 88599 891552 B 3 42966 891552 C 4 83965 891553 D 5 88599 891553 D 6 42966 891553 B How can I convert it to something like adjacency matrix, but on the intersection of colum-row i would like to have, the third colum value, like that: 891552 891553 42966

问题 I would like to use the reshape2 package in R to change my long table into a wide table. I have a data set from database which is like this (example): id1 | id2 | info | action_time | 1 | a | info1 | time1 | 1 | a | info1 | time2 | 1 | a | info1 | time3 | 2 | b | info2 | time4 | 2 | b | info2 | time5 | And now I want it to be like this: id1 | id2 | info |action_time 1|action_time 2|action_time 3| 1 | a | info1 | time1 | time2 | time3 | 2 | b | info2 | time4 | time5 | | I have tried several

问题 I have a very big dataset. It consist more than 10 million records. It is very difficult to use this much of dataset to apply any algorithm. So, that I trying to restructure this dataset. In my dataset, so many records are there per one customer. Now I am trying to convert one record per one customer. Here I am representing my sample mock up data. d1<-structure( list(userid = c(64455670203, 64455670203, 64455670203, 64455670203, 64455670203, 64455670204, 64455670204, 64455670204, 64455670204,

问题 I have untidy data in a dataframe that looks like this. Here you can see in 'team' the names of some soccer teams. Name1-3 are variable listing the different names used to refer to these teams in the first column. team name1 name2 name3 1 Loughborough Loughborough 2 Luton Town Luton Town Luton 3 Macclesfield Macclesfield 4 Maidstone United Maidstone United 5 Manchester City Manchester City Man City 6 Manchester United Manchester United Newton Heath Man United 7 Mansfield Town Mansfield Town

问题 I try to reshape a dataset from this (mydata - snippet) sample species cell_nr biovol 1 41442bay_1 Mytilus sp. 6.22 1243.04 2 41502elba_1 Mytilus sp. 1.35 260.64 3 41502bay_3 Mytilus sp. 2.74 548.21 4 41443bay_2 M. edulis 599.14 114028.15 5 41411elba_2 M. edulis 5107.51 1021502.16 to this (result) sample variable Mytilus sp. M. edulis 1 41442bay_1 cell_nr 6.22 0 2 41442bay_1 biovol 1243.04 0 3 41443bay_2 cell_nr 0 599.14 4 41443bay_2 biovol 0 114028.15 So far I used reshape2 in R mymelt <-

问题 I have searched and found many solutions that came close, but never quite worked in the end. This is probably something very simple, for those with experience... Here is a snippet of my data. This was created automatically from a JSON import by the package jsonlite. The data is very nicely structured, but I am nevertheless helpless. Update2: I have added the relevant data below structure(list(rightsize = c(42L, 50L, 52L, 49L, 41L, 41L, 41L, 41L, 41L, 45L, 47L, 42L, 45L, 46L, 42L, 44L, 44L,

问题 I have a dataframe looking like this: a <- c("Lilo","Chops","Henmans") a <- cbind(a,c(0.1,0.5,0.25),c(0.2,0.3,0.65),c(0.7,0.2,0.1)) colnames(a) <- c("market","Product A","Product B","Product C") and would like to melt it: b <- melt(a, varnames = c("market")) this gives the following: > b market NA value 1 1 market Lilo 2 2 market Chops 3 3 market Henmans 4 1 Product A 0.1 5 2 Product A 0.5 6 3 Product A 0.25 7 1 Product B 0.2 8 2 Product B 0.3 9 3 Product B 0.65 10 1 Product C 0.7 11 2

问题 I tried using the reshape package to reshape a dataframe I got, but when using it, numbers in the dataframe are changed which should not be. The dataframe contains several variables as well as multiple times these variables have been measured, for each person there are 6 rows, that is 6 times that person has been measured. Now I want to reshape the dataframe so there is only one row for each person instead of 6, that means every variable should be there 6 times (once for every measurement),

问题 a common task in the data I work with is reshaping client data from long to wide. I have a process to do this with Reshape outlined below that basically creates new (but unmodified) columns with a numeric index appended. In my case I do not want to perform any modifications on the data. My question, because I often use reshape2 for other operations, is how this can be accomplished with dcast? It does not seem that the example data need to be melted by id, for example, but I'm not sure how I

问题 Say I have a dataset where rows are classes people took: attendance <- data.frame(id = c(1, 1, 1, 2, 2), class = c("Math", "English", "Math", "Reading", "Math")) I.e., id class 1 1 "Math" 2 1 "English" 3 1 "Math" 4 2 "Reading" 5 2 "Math" And I want to create a new dataset where rows are ids and the variables are class names, like this: class.names <- names(table(attendance$class)) attedance2 <- matrix(nrow=length(table(attendance$id)), ncol=length(class.names)) colnames(attedance2) <- class