similar to: Decision tree model using rpart ( classification

In my code below tempa and tempb are numeric vectors that I combined into a dataframe along with the deciles of tempa. I have an lapply statement that goes through the dataframe and does ten plots according to the appropriate decile. The code is below and it works fine. There are no bugs so I figure there was no need to include structure statements on the data. Also, I don't want to use coplot

Hi List, I am new to R, this may be simple. I want to store directory path as parameter which in turn to be used while reading and writing data from csv files. How I can use dir defined in the below mentioned example while reading the csv file. Example: dir <- "C:/Users/Desktop" #location of file temp_data <- read.csv("dir/bs_dev_segment_file.csv") If I run this

Hello, I have a set of data with two columns: "Target" and "Actual". A http://n4.nabble.com/file/n1584647/Sample_table.txt Sample_table.txt is attached but the data looks like this: Actual Target -0.125 0.016124906 0.135 0.120799865 ... ... ... ... I want to be able to break the data into tables based on quantiles in the "Target" column. I can see (using

Hi All, I am working on the dataset in which some of the variables have more than one observations with outliers . I am using below mentioned sample script library(outliers) x1 <- c(10, 10, 11, 12, 13, 14, 14, 10, 11, 13, 12, 13, 10, 19, 18, 17, 10099, 10099, 10098) outlier_tf1 = outlier(x1,logical=TRUE) find_outlier1 = which(outlier_tf1==TRUE, arr.ind=TRUE) beh_input_ro1 =

I guess this is really basic. But I do not find an answer yet. I have a big data.frame. I would like to divede them into 10 deciles accounding to one of its member. Then I need a number for each decile with some computaion within each group. How to devide it?

Hi R users, I have a matrix of data similar to: > y=matrix(rnorm(55),ncol=5) I would like to know to which decile each number belongs compared to the numbers in its column. Say y[1,1] is the third decile among y[1:11,1] and y[2,1] is in the second decile I would like get a matrix that would return their ranks in decile, i.e., y[1,1] -> 3 y[2,1] -> 2 Your help is much appreciated!

Hi, Not sure if I am making a simple problem complex but still here we go: I have a data frame with four columns say, X1 X2 X3 and X4. I want to break X4 into deciles and for each deciles obtained, I want to see corresponding elements of X1. Ideally, the output should be in a tabular fashion as shown below: Deciles 1 Deciles 2 .... Deciles 10 X1-1 X1-2 X1-99 X1-5 X1-3 X1-10

I have a data frame, lets call it dat, with 3 columns ( mc, yr, ret) which represent market cap, year, and return. mc is a factor, mc, and ret are real numbers. I want to add a column to the data calculated as follows. For each year, I want to split the data by mc decile, then calculate the mean ret within that mc decile, and finally subtract that year's decile mean from the raw return. Then

I am constructing plots ( regular not lattice ) and my initial command is par(mar=c(3,4,2,2), mfcol=c(5,2)) and then I create 10 plots on the page. It looks great but the plots on the page go in the order 1 6 2 7 3 8 4 9 5 10 Where the numbers denote decile breakdowns. Is there an easy way to make them go from left to right so 1 2 3 4 5 6 7 8 9 10 I could try

Hi everyone, I'm a new R user (if this is a really basic question, please do excuse me...) and I'm having some questions regarding a deciles problem. I have a variable which I need to categorize according to its deciles (X). However, this categorization should be made into another variable (call it NewVar). Ex. for the quartiles case (just for the sake of exposition, since I need

Dear All, I am new to R, I have one question which might be easy. I have a large data with more than 250 variable, i am reducing number of variables by redun function as in the example below, n <- 100 x1 <- runif(n) x2 <- runif(n) x3 <- x1 + x2 + runif(n)/10 x4 <- x1 + x2 + x3 + runif(n)/10 x5 <- factor(sample(c('a','b','c'),n,replace=TRUE)) x6 <-

I am trying to calculate the weighted mean for a of 10 deciles and I get an error: > decile <- tapply(X=mat$trt1m, INDEX=mat$Rank, FUN=weighted.mean, w=mat$mcap) Error in FUN(X[[1]], ...) : 'x' and 'w' must have the same length All three of my inputs have the same length, as shown below, and the weighted.mean calculation works by itself, just not in tapply() >

How to use ggplot to do the binned quantile plots(one type of scatter plot)? Hi all, I have done scatter plot: plot(x, y). Now I wanted to do binned quantile plots... can ggplot2 help me? For example, we bin x data into 10 bins. For each bin, we draw the 10 deciles of the corresponding y data in that bin as points/dots. And then accross all bins, we would like to connect the corresponding

bonjour, i'm a mathematic teacher and i have a question for R-developers : is it possible to have (in the future) a boxplot with whiskers from the first decile to the ninth decile, as usual in secondary french schools... by example : boxplot(serie,range=-1) for french boxplot ? cordialement, jean-pierre lyc?e jean zay orl?ans, france http://mathazay.free.fr/spip/

Dear UseRs, I'm making box plots from a data set that looks like this: Chr Start End GeneDensity ReadCount_Explant ReadCount_Callus ReadCount_Regen 1 1 1 10000 107.82 1.243 1.047 1.496 2 1 10001 20000 202.50 0.835 0.869 0.456 3 1 20001 30000 158.80 1.813 1.529 1.131

bonjour, je voudrais savoir s'il serait possible de sugg?rer aux d?veloppeurs de R de proposer une option suppl?mentaire pour les moustaches, ? savoir les placer sur d1 et d9 comme c'est pr?conis? dans les programmes du secondaire en France, option du style boxplot (serie,range=91) par exemple... i would like to know if it is possible to have (with the agrement of developpers)

Dear List, Couple of issues while using functions from ?BCA? library: 1. I am trying to use ?lift.chart? function from ?BCA? library, but facing issues while using model where model formula is passed as formula object in glm. When model formula is written as text, then it works fine. In my case input variables and target variables are going to change dynamically, so have to used formula as

Buenas, tengo la siguiente inquietud. Tengo un data frame con los microdatos de la ECH de mi pais. He realizado un cuadro sin problemas en excel pero me gustaria una rutina de R para poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las siguientes variables para este caso: idhogar region estrato integranteshogar expansor ingpercapsvl Computador TvAbonado Internet 1 capital 1 2

Hi Everyone I have a data set I want to bucket into deciles. Have been trying (without) success to use cut and using online help to understand my error. Here is my code to read in a few sample rows. I want to then create deciles by this variable > a<-read.csv("c:/temp/petrol.csv",header=TRUE,sep=",") > a tot_rdm_amt 1 40.15 2 332.65 3 533.37 4

> Buenas, tengo la siguiente inquietud. > Tengo un data frame con los microdatos de la ECH de mi pais. He realizado > un cuadro sin problemas en excel pero me gustaria una rutina de R para > poder generar la tabla. El data.frame se llama ECH2009. Cuenta con las > siguientes variables para este caso: > > idhogar region estrato integranteshogar expansor ingpercapsvl Computador