search for: cohen78

Dear list, I have imported a spss data file in R, where a comma is used to separate the decimal numbers, e.g. 3,567 instead of 3.567 as in R. How can I replace the comma with a dot for all values in the data frame >kk a b c d e f 1 ,0925199910320613 82523 8 ,855 ,803 ,69 2 ,278314161923372 91657 26 1,285 1,032 ,823 3

Dear list, I have following data set, which I want to plot the "Scale" variable on the x-axis and "Mean"´on the y-axis for each Ageclass and for each sex. The Mean value of each Ageclass for each sex would be connected by a line. Totally, there should be 6 lines, from which three present the Mean values of each Ageclass for respective sex. Are there any easy ways to do

Tom Cohen <tom.cohen78@yahoo.se> skrev: Thanks Prof Brian for your suggestion. I should know that for right-skewed data, one should generate the samples from a lognormal. My problem is that x and y are two instruments that were thought to be measured the same thing but somehow show a wide confidence interval...

Dear list, I have following plot, where I have set the color (red and green) and lines (lty=2:3) in the panel.groups but can't not figure out how change the lines and color of the legend in the "key" to the same lines and color as in the panel.groups. bwplot(means ~ age | scales , dat, panel = "panel.superpose", groups = sex,scales = list(x = list(rot =

Dear list, With the below codes, I got 8 bwplots but I would like to put 2 bwplots in one single graph so that instead of 8 separate bwplots I would have 4 graphs, each contains 2 bwplots. How can I do that? Another question is how do I add the mean as a point to each boxplot in the bwplot but also keeping the median line. for (i in 1:length(dat)){ windows() with(dat[[i]],

Dear list, I have following data, where I want to check if any value in each column is out of range. For example, column "f1" can only take values 1-5, so if any values less than 1 or > 5 will be defined as missing value (i.e. NA), column "f4" can only take values of 1-3 and any values that are outside this interval will be considered as missing values. The below

Dear list, I am trying to do a repeated analysis using lme in R and a little bit unsure if I have set up the right statement. The problem is the IL6 (interleukin 6) was measured 5 times on each individual in each of 6 companies. The hypotheses are to see whether there is a relationship between IL6 and the total dust in each of the companies and if there is any change in IL6 across time

Dear list, I have done a scatter plot of multiple variables in the same graph, with different col and pch. I managed to do it with the following code but not know how to make a function of these so that next time if I want to do similar graph but with new variables, I dont have to copy the code and then change the old variables with the new ones but just call a function with the new

Dear List, I have 30 data files with different numbers of lines (31 and 33) that I want to skip before reading the files. If I use the skip option I can only choose either to skip 31 or 33 lines. The data files with 31 lines have no blank rows between the lines and the header row. How can I read the files without manually checking which files have 31 respectively 33 lines ? The only text

Dear list, I have the following data set id 1 2 3 4 5 6 7 8 9 10 disease a b c d e f g h i j age 23 40 32 34 25 32 22 35 29 21 city NY LD NY SG NY LD VG SA LD SG sex 1 1 2 2 2 2 1 1 1 2 treat_a y y y y treat_b n n n n n n ques1_1 2 4 5 6 8 3 1 2 4 5 ques1_2 6 4 5 12 10 9 8 4 5 7

Dear list, I have the following dataset and want to know how many times each value occur in each column. >data [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] -100 -100 -100 0 0 0 0 0 0 -100 [2,] -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 [3,] -100 -100 -100 -100 -100 -100 -100 -100 -100 -100 [4,] -100 -100 -100 -100 -100 -100 -100 -100 -100

Dear list, I have two data columns (part of big data frame) containing dates presenting the dates when two measurements (M1 and M2) were taken. The data consists of 73 individuals divided in different groups. Each group was examined at different time points (see M1 date),but the measurements (M1 and M2) within each group should be taken in the same day but due to some practical issues,

....html > > and provide commented, minimal, self-contained, reproducible code. > > > > [[alternative HTML version deleted]] > > > > ------------------------------ > > Message: 14 > Date: Fri, 10 Aug 2007 14:01:44 +0200 (CEST) > From: Tom Cohen <tom.cohen78@yahoo.se> > Subject: [R] help with counting how many times each value occur in > each column > To: r-help@stat.math.ethz.ch > Message-ID: <570265.73780.qm@web23006.mail.ird.yahoo.com> > Content-Type: text/plain > > Dear list, > I have the following data...

Dear list, How can I add the mean and standard deviation to each of the boxplots using the example provided in the boxplot function? boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg",

Dear list, I tried to apply the logistic regression to different response variables from a dataframe and would like to store the results using the function logistic.display from the "epicalc" package in a list, but got an error message "Error in eval(expr, envir, enclos) : y values must be 0 <= y <= 1". All the response variables have value of 0 or 1. It worked

Dear list, How can I calculate the difference in days between the eventdate and basedate in the below dataset? id basedate outcome.3 eventdate daydiff 1 1001 1999-09-28 2 1999-10-01 3 2 1002 1999-09-22 1 3 1003 2000-01-19 1 4 1004 2004-01-25 2 2004-02-03 9 5 1005 2005-08-11 1 6 1006 2000-07-04

Dear list, I have the following data set id 1 2 3 4 5 6 7 8 9 10 disease a b c d e f g h i j age 23 40 32 34 25 32 22 35 29 21 city NY LD NY SG NY LD VG SA LD SG sex 1 1 2 2 2 2 1 1 1 2 treat_a y y y y treat_b n n n n n n ques1_1 2 4 5 6 8 3 1 2 4 5 ques1_2 6 4 5 12 10 9 8 4 5 7

Dear list, I have a dataset consists of duplicated sequences within day for each patient (see below data) and I want to reshape the data with patient as time variable. However the reshape function only takes the first sequence of the replicates and ignores the second. How can I 1) average the duplicates and 2) give the duplicated sequences unique names before reshaping the data ? >

Dear list, I have following table ee<-table(ID,Day) ee Day ID 2 3 4 5 6 7 9 10 14 16 35 5 0 0 3 1 0 0 5 0 0 36 0 0 0 0 0 0 0 1 0 0 43 13 15 15 0 0 13 13 15 13 15 46 0 1 0 0 0 0 0 0 0 0 58 0 0 0 0 0 0 4 4 0 0 and want to calculate the sum for each row and column and then append the sums to the table matrix.

Dear list, Is there a way to reorder the xaxis using lattice. Using the following data, the x-axis is ordered as BP GH MH PF RE RP SF VT but I would like the x-axis to be ordered as PF RP BP GH VT SF RE MH. Kön Skalor Tillfälle Medelvärde 1 Kvinnor BP 1-inskrivning 36.45283 2 Kvinnor GH 1-inskrivning 38.62255 3 Kvinnor MH 1-inskrivning 62.88889 4