search for: na

Hello all! I have a big problem now. I want a data frame like this: dput(head(test,100)) structure(c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA...

...39;s HSD. These are not reported by the function TukeyHSD. When I apply the following code to the data, which I store as PROLE4.TXT, several unexpected things happen. First, the function TukeyHSD works for all the comparisons but the function simint doesn't. Second, after the application of na.omit def2$EL and def4$EL report factor values which have been omitted. Please inform me what I am doing wrong. Thank you very much. Peter B. dat0 <- read.table("prole4.txt",header=T) nrow(dat0) attach(dat0) dat <- data.frame(PRO,GRA,SOL,CEN,LAC,factor(NP),factor(TP),factor(SC),f...

...ckage for multiple imputation. For one data (attached), mice doesn't impute all missing values. Specifically, some variables were not imputed at all. the reproducible code library(mice) test.df<-read.table(c:\\test.txt',header=T,sep=',') mi<-mice(test.df,maxit=10,m=5) sum(is.na(complete(mi,1))) >129 and x41, x50... were not imputed at all. Any suggestion? Weidong Gu -------------- next part -------------- "x1","x2","x3","x4","x5","x6","x7","x8","x9","x10","x11&qu...

...4.3.2, and I have a .xlsx file that has 46 sheets on it. I basically combined all 46 sheets and read them as a single dataframe in R using package rio. I read a solution using package readlx, as suggested in a StackOverflow discussion as follows: df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000). Now, when you have so many sheets (46 in my case) in an Excel file, the rio methodology is more practical. This is what I did: path = "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI (4).xlsx" figidat = import_list(path, rbind = TRUE)...

Hello all! I have a problem to arrange data in another form. My initial data is like this: 'data.frame': 421 obs. of 58 variables: $ 01A: num NA NA NA NA NA NA NA NA NA NA ... $ 01B: num NA NA NA NA NA NA NA NA NA NA ... $ 03A: num NA NA NA NA NA NA NA NA NA NA ... $ 03B: num NA NA NA NA NA NA NA NA NA NA ... $ 05A: num NA NA NA NA NA NA NA NA NA NA ... $ 05B: num NA NA NA NA NA NA NA 3.64 2.48 1.87 ... $ 07A: num NA NA NA NA NA...

R experts, I am working with a fairly large data set comprised of 563 rows by 116 columns including several different modes. I have been unable to read in the data set completely using the read.table function and the RGui (i.e. nearly half the total number of rows are missing from the data set along with the column names). The data does read in fully using Tinn-R's Rterm; however, at several points in the data frame a single line of...

Thank you all for your (fast) comments. Unfortunately I could not make the advise work: > mass [1] 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 800 910 910 910 910 910 910 910 [26] 910 910 910 910 910 910 910 910 910 910 910 910 910 910 1,020 1,0...

...I want to create the plot I have this problem: Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' and 'y' lengths differ. I try this code: library(dplR) df.rwi <- detrend(rwl = df, method = "Spline",nyrs=NULL) write.table(df.rwi,file="rwi.txt",quote=FALSE,row.names=TRUE) df.crn <- chron(df.rwi, prefix = "RGE",prewhiten = TRUE) write.table(df.crn,file="crn.txt",quote=FALSE,row.names=TRUE) ##confidence interval library(boot) ci.func <- function(y) { y <- y[!is.na(y)] mean.fun <- function(y,i) { m <- mean(y[i])...

...e = c(174.267493382104, 173.412740072763 : >> Coefficient matrix not invertible Here is my R-code: data <- d.plabutsch.neu # calculating the starting coeficients: r.CO2.rlm <- rlm(EF.CO2 ~ pLKW.total + Sat + Sun + Fz.total, data = data, method = "MM", na.action = na.exclude) START <- coef(r.CO2.rlm); names(START) <- letters[1:5] # 'gnls': r.CO2.gnls <- gnls(log(EF.CO2) ~ log(a + b * pLKW.total) + c * Sat + d * Sun + e * Fz.total,start = START, data = data, correlation=cor...

...blem to read data (daily precipitation). The data are formated in months by columns wich leads to empty items in months with less then 31 days. What i did was reading the file and try to reshape the object a<- read.table("nds.txt", header=TRUE, sep=";", dec = ".", na.string="NA") ar<-reshape(a, timevar="month",varying=list(c("Jan","Febr","M?rz","April","Mai","Juni","Juli","Aug","Sept","Okt","Nov","Dez")),direction="...

...acter to date > #intakeDS$IntakeDate <- as.character(intakeDS$IntakeDate) > intakeDS$IntakeDate_d <- as.Date(intakeDS$IntakeDate_c, "%Y%m%d") > > intakeDS$intake_age <- intakeDS$DOB - intakeDS$IntakeDate_d > intakeDS$intake_age Time differences in days [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [61] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA N...

Hi, I've a vector like this: > inc [1] NA NA NA NA NA NA NA [8] NA NA NA NA NA NA NA [15] NA NA NA NA NA NA NA [22] NA NA NA NA NA NA NA [29]...

Hi all, I'm trying to log chart but with natural looking tick marks. My specifications are very specific -- it must indicate the lowest number's tick as well as the maximum. I've attached sample code and data for a particular case (and there are a few more like this) where the bottom tickmarks on the chart are not set to where I wa...

Estimados compañeros de lista, estábamos trabajando con unos datos que adjunto y queríamos hacer una selección mediante índices pero nos deparamos con algún problema. Por ejemplo si hacemos solamente: data[data$PESO==76] me da algo como: > str(data[data$PESO==76,]) 'data.frame': 2475 obs. of 10 variables: $ PUREZA_A: Factor w/ 1 level "pi": 1 NA NA NA NA NA NA NA NA...

Hi! I have a matrix defined on geographical positions (through) row and column names. I need to change a number of elements in this matrix using the information of a data.frame containing geographical positions and a number of variables. Changing the value of one specific element is easy, but changing on a number of selected positions seems more difficult. When I use the geo...

Dear all, I wrote the following batch script on a iMac, and ran it on a linux mosix cluster. tu <- read.table("cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshape.table") tu_reshaped <- t(reshape(tu[1:50,], direction="wide", timevar="tu", idvar=c("rna","lib"))) write.table(tu_reshaped, "cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshaped.table") q(sav="no") (I will remove the [...

Dear All I want to chose just spacial columns in R. (read table) data1<- read.table("/home/Documents/data.txt",header=F,sep = "\t", as.is =F) data.2<-data1[sub.data[,1],] The dimension of data.2 is correct but my data are transformed NA head(data.2) V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 NA <NA> NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA.1 <NA> NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA...

Dear all! I have a problem when I use this equation with R. mpr <- 843.75*exp(-1.119*pg) Error in FUN(left, right) : non-numeric argument to binary operator pg 01 02 03 04 05 06 07 08 09-236 10-63T 11 12 13 14 15 16 17-234 18 19 20 23 1592 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1593 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 1594 NA NA NA NA NA NA NA NA NA NA NA...

I have a list of numbers with NAs as below: > A[,1] [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [19] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [37] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA [55] NA NA NA NA NA NA NA NA NA...

...0.5000000 [50] 0.5000000 0.5000000 0.5000000 0.7142857 0.5000000 0.0050000 0.3500000 [57] 0.5000000 0.3500000 0.0000000 0.5000000 0.2500000 0.2500000 1.0000000 [64] 0.2500000 0.1000000 0.2500000 0.5000000 0.2500000 0.5500000 NA [71] 0.2500000 0.4000000 0.3500000 0.3500000 0.2500000 0.0000000 0.8888889 [78] 0.5000000 0.2500000 0.5000000 0.5000000 0.5000000 0.2500000 0.2000000 [85] 0.4000000 0.0000000 0.3500000 0.0250000 0.4000000 0.5000000 0.3500000 [92]...