cbind

问题 I am new to sql and struggling to solve this very simple task. Considering, with table1 as (select '1' col1 from dual union select '2' col1 from dual union select 'NO_PATTERN' col1 from dual union select 'RANDOM_STUFF' col1 from dual) select * from table1; and, with table2 as (select 'aaa' col2 from dual union select '4' col2 from dual union select 'qwewqeq' col2 from dual union select 'UUUUUU' col2 from dual) select * from table2; I want to perform a cbind() between the two columns into a

问题 I have 94 tab delimited files, no header, in a single directory '/path/' with gene names in the first column and counts in the second column. There are 23000 rows. I would like to read all 94 files found in /path/ in to R and merge all of the 94 files to create a single data frame 'counts.table' where the first column contains the gene names (identical and in the same order in Column 1 of all 94 files) and second to ninety-fifth column contains the counts from each individual file (i.e.

问题 Say I have a data frame called summarized which includes the columns TY_COMP and LY_COMP (among others). I could write a function in R that performs a calculation on TY_COMP and LY_COMP and creates a new column called cac in the data frame like this: summarized$cac <- summarized$TY_COMP/summarized$LY_COMP-1 cac is now a new column in the summarized data frame. Now say that summarized() is a reactive data frame with the same columns. How could I achieve the effect done in the non-reactive data

问题 x = iris$Sepal.Width; y = iris$Species; m = cbind(x,y); the output of m is: x y [1,] 3.5 1 [2,] 3.0 1 [3,] 3.2 1 [4,] 3.1 1 [5,] 3.6 1 [6,] 3.9 1 but I want 'setosa', etc in column y instead of a number how can I do that? I want to combine the 2 Vectors because I want to filter afterwards with m[m[,"y"]=="virginica",] or is ther another oportunity to do that without cbind? 回答1: For vectors being combined with cbind , the result would be a matrix , which can only hold one type of data. Thus,

问题 I have let say 4 data sets f1,f2,i1,i2 . I want to cbind() f1 with i1 and f2 with i2 . I can use v1<-cbind(f1,i1) v2<-cbind(f2,i2) but I want to do this in some sort of loop. I know the question is very basic. But after lots of searching I am still unable to find a solution for this. 回答1: We can use Map to cbind the corresponding columns of both datasets lst <- setNames(Map(cbind, mget(ls(pattern = "^f\\d+")), mget(ls(pattern = "^i\\d+"))), paste0("v", seq_along(f1))) to create a list of

问题 I would like to know how can I come up with a lm formula syntax that would enable me to use paste together with cbind for multiple multivariate regression. Example In my model I have a set of variables, which corresponds to the primitive example below: data(mtcars) depVars <- paste("mpg", "disp") indepVars <- paste("qsec", "wt", "drat") Problem I would like to create a model with my depVars and indepVars . The model, typed by hand, would look like that: modExmple <- lm(formula = cbind(mpg,

问题 #use readtable to create data frames of following unzipped files below x.train <- read.table("UCI HAR Dataset/train/X_train.txt") subject.train <- read.table("UCI HAR Dataset/train/subject_train.txt") y.train <- read.table("UCI HAR Dataset/train/y_train.txt") x.test <- read.table("UCI HAR Dataset/test/X_test.txt") subject.test <- read.table("UCI HAR Dataset/test/subject_test.txt") y.test <- read.table("UCI HAR Dataset/test/y_test.txt") features <- read.table("UCI HAR Dataset/features.txt")

问题 Folks, I would like to concatenate or merge if you will 2 data frames df1 and df2. My goal is as simple as making a new data frame whose columns is a union of those of df1 and df2. Example product=c("p1","p1","p1","p1","p1","p1","p1","p1","p2","p2","p2","p2","p2","p2","p2","p2","p3","p3","p3","p3","p3","p3","p3","p3","p4","p4","p4","p4","p4","p4","p4","p4") skew=c("b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a")

问题 This question already has an answer here : Merging rows with the same ID variable [duplicate] (1 answer) Closed 3 years ago . I have the following dataframe: st <- data.frame( se = rep(1:2, 5), X = rnorm(10, 0, 1), Y = rnorm(10, 0, 2)) st$xy <- paste(st$X,",",st$Y) st <- st[c("se","xy")] but I want it to be the following: 1 2 3 4 5 -1.53697673029089 , 2.10652020463275 -1.02183940974772 , 0.623009466458354 1.33614674072657 , 1.5694345481646 0.270466789820086 , -0.75670874554064 -0

问题 Let's say I have an unspecified number of vectors of different lengths, and I want to effectively rbind them together, with the caveat that they must each occupy a different column in the resulting data.frame. You may assume that the vectors are contained in a list, but you cannot depend on any component names that may be defined within the list. Below I present a random sample input ( lv ) and a poor solution to generate the required output that manually builds the resulting data.frame by