similar to: loop in a data.table

Hi everyone: This may be trivial but I just have not been able to figure it out. Imagine the following dataframe: a b c d TRUE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE I would like to create a new dataframe, in which TRUE gets 0 but if false then add 1 to the cell to the left. So the results for the example above should be something like: a b c

Hi. This is likely a trivial problem but have not found a solution. Imagine the following dataframe: Lat Lon x1 x2 x3 01 10 NA NA .1 01 11 NA .2 .3 01 12 .4 .5 .6 I want to generate another column that consist of the first value in each row from columns x1 to x3. That is NewColumn .1 .2 .4 Any input greatly appreciated, Thanks, Camilo Camilo Mora, Ph.D.

Hi everyone, Imagine that I have a data frame with four columns: data<- a b c d 0 1 1 0 1 1 1 1 1 0 0 1 I want to replace the zeros in columns a:b for NA only for the rows in which column d are zero. So a b c d NA 1 1 0 1 1 1 1 1 0 0 1 I am trying

Hi everyone, I wonder if anyone knows the reason why the outputs of the same reprojection in r and arcgis are different?. The magnitude of the change can be up to 40 km in the poles. Basically, I have a database of points equally separated by one degree over the globe. In ARCGIS, I am projecting the data in GCS-WGS-1984 and then reprojected it to Berhmann to ensure equal area

Hi everyone, I wonder if I can get your help using a custom function in apply. Imagine the following dataframe called "data": LowLim HighLim A1 A2 A3 A4 4 6 3 4 5 6 4 6 4 5 5 6 2 3 1 4 2 3 2 3 NA NA NA NA We have created a custom function (see below) that takes the values in a given row between columns A1 to A4 to see if they are outside the limits in the same

Hi everyone: Is there a function in R to calculate the confidence intervals for the predictions of a GLS(Generalized Least Square) model? The function "predict" gives confidence intervals for the predictions of other types of models (lm, glm, etc) but not gls. Any input will be much appreciated, Best, Camilo Camilo Mora, Ph.D. Department of Biology Dalhouisie University

Hello gurus, I have a dataframe containing two groups viz., 'control' and 'case', each of these groups contains longitudinal data for 100 subjects. I have to plot all these subjects on a single chart and then put a regression line for each of the group for all the subjects. I have written a function to do the chart grpcharts<-function (dat, group,group2,molecule,cutoff){

Hi all, It seems like I cannot use normal 'if' for data frames. What would be the best way to do the following. if data$col1='high' data$col2='H' else if data$col1='Neutral' data$col2='N' else if data$col='low' data$col2='L' else #chuch a warning? Note that col2 was not an existing column and was newly assigned for this

Hello, I would like to be able to write all files produced on one day to an output directory with that date stamp, or alternatively stamp the date in the filename. So that if i run the same code the next day the files will not be overwritten. here's what i have to start with: baseDir = getwd() outputDir = paste(baseDir,"/OutputData-", Sys.Date(),sep="") and lets say i

Hi, I have a table in which one column has the name of the objects as shown below. Name Budlamp-Woodcutter Complex - 15 to 60% slope (60/25/15) Budlamp-Woodcutter Complex - 15 to 60% slope (60/25/15) Terrarossa-Blacktail-Pyeatt Complex - 1 to 40% slope (40/35/15/10) Terrarossa-Blacktail-Pyeatt Complex - 1 to 40% slope (40/35/15/10) How can I split the single column into three columns

R 2.15.1 OS X Colleagues, I am reading a 1 GB file into R using read.table. The file consists of 100 tables, each of which is headed by two lines of characters. The first of these lines is: TABLE NO. 1 The second is a list of column headers. For example: TABLE NO. 1 COL1 COL2 COL3 COL4 COL5 COL6 COL7 COL8 COL9 COL10

Cordial saludo adjunto la base de datos y el script: eu60<- read.csv(file.choose(), header=T, sep=";", dec=".", row.names=1) eu60.pca <- PCA(eu60, quali.sup=19) eu60.data <- cbind.data.frame(eu60[,19], eu60.pca$ind$coord) eu60.ellipse <- coord.ellipse(eu60.data, bary=TRUE) plot.PCA(ellipse=eu60.ellipse, cex=0.8) El 4 de diciembre de 2013 17:35, Camilo Calle

Hello, I have 1-minute time series stock data and I'd like to calculate mean of every n-th candle data of m-days. result = c(mean of 1th data, mean of 2nd data, ...) mean of 1th data = (1th data of 2012-1-1 + 1th data of 2012-1-2 + 1th data of 2012-1-3) / 3 mean of 2nd data = (2nd data of 2012-1-1 + 2nd data of 2012-1-2 + 2nd data of 2012-1-3) / 3 ... Could you let me know the fastest

I am starting to BDD. When specing the controller I want to test for object creation: it "deberia crear una nueva persona en post create" do Usuario.should_receive(:create).with({:nombre => "camilo", :clave => "secreta", :tipo => "administrador"}).and_return(@usuario) post ''create'', {:usuario => {:nombre =>

Hi, I have a panel data set that I am trying to subset. I am trying to keep values for years >=1960. The full set is from 1940 to 2000. I tried a few things, but none worked. Here are a couple that I am trying to use. TableAPS1 <- subset(TableAP, year => 1959) TableAPS1 <- TableAP[ which(year > 1959),] It would be really nice if someone can point out what I am doing wrong

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Hola a todos Me gustaría saber si me pueden ayudar con lo siguiente. Realicé un Boxplot usando ggplot2 para visualizar el comportamiento de dos variables. Visualmente no se notan las diferencias porque la gráfica de la derecha (parásitos en el abdomen) llega hasta 20 en el eje y. ¿Cómo puedo hacer para que las dos gráficas muestren la misma escala en el eje Y, es decir, que las dos lleguen a 60?

Hello, This is my first attempt at using R. Still trying to figure out and understand how to work with data frames. I am trying to plot the following data(example). Some experimental data i am trying to plot here. 1) i have 2 files 2) First File: Number Position 1 120 2 134 3 156 4 169 5 203 3) Second File: Col1 Col2 p-val 1 2 0.45 1 2 0.56 2 3 0.56 2 3 0.68 2 3

Hola, ¿qué tal? Tu problema es que tienes agrupaciones de países (p.e., ASIA_MERIDIOL) con un solo respresentante. Las matrices con las que construyes las elipses son degeneradas (más bien, no existen: sospecho que tienen que ver con la covarianza... ¿de un único caso?). Elimina las agrupaciones triviales. Un saludo, Carlos J. Gil Bellosta http://www.datanalytics.com El día 4 de diciembre de

hey, I have a huge dataset with over 300000 rows which contains data about something from 2009-2012. does anyone know how i can delete all the rows which contain data from 2009 and only have data from 2010-2012??? is there a particular function i can use on the date column so that all data from 2009 can be deleted??? -- View this message in context: