search for: male

Hello R-users/experts, I am new to R- I have a simple question: Let say I have a data set as follows temp:[file attached] the data structure is a follows: sex age female 28 female 53 female 53 female 36 male 42 male 29 male 43 male 36 male 41 Here we are grouping all male value into male and all female value in to female as follows: t<- read.csv("agesubject1.csv", header = TRUE) male <- t$age[t$...

Hi All, I have the data like this : >sample <- read.csv(file="sample.csv",sep=",",header=TRUE) > sample stdate Domain sex age Login 1 01/11/09 xxx FeMale 25 2 2 01/11/09 xxx FeMale 35 4 3 01/11/09 xxx Male 18 30 4 01/11/09 xxx Male 31 3 5 02/11/09 xxx Male 32 11 6 02/11/09 xxx Male 31 1 7 02/11/09 xxx FeMale 29 1 8 02/11/09 xxx FeMale 23 5 9 03/11/09 xxx FeMale 25 9 1...

...ex. 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 this in R? Ageclass Scale Mean Sex 1 21-40 BP 40.26667 female 2 41-60 BP 34.10714 female 3 61-79 BP 37.30000 female 4 21-40 GH 30.25000 female 5 41-60 GH 39.00926 female 6 61-79 GH 49.30000 female 7 21-40 MH 56.53333 female 8 41-60 MH 62.42857 female 9 61-79 MH 72.72727 female 10 21-40 PF 25.86111...

hello everyone, I working on the dataset for my project in class and got stuck on trying to run logistic regression. here is my code: data <- read.csv(file="C:/Users/fieder.data.2000.csv") # creating subset of men fieder.male<-subset(data,data[,8]==1) unmarried.male<-subset(data,data[,8]==1&data[,6]==1) # glm fit agesq.male<-(unmarried.male[,5])^2 male.sqrtincome<-sqrt(unmarried.male[,9]) fieder.male.mar.glm<-glm(as.factor(unmarried.male[,6])~ factor(fieder.male[,7])+fieder.male[,5]+agesq.male+ m...

...! I'm sure that I overlook something and feel quite stupid to ask, but I have not found an easy solution to the following problem: Take e.g. the Orthodont data from the nlme package: > head(Orthodont) Grouped Data: distance ~ age | Subject distance age Subject Sex 1 26.0 8 M01 Male 2 25.0 10 M01 Male 3 29.0 12 M01 Male 4 31.0 14 M01 Male 5 21.5 8 M02 Male 6 22.5 10 M02 Male Suppose now, that I have a vector which contains the names of the "meta"-fields in this data-frame: metaFields <- c("Subject", "S...

Hello, I'd like to add labels to my plot that include a male or female symbol as subscript. I'm working in Windows Vista and R 3.0.0. I am able to add the male symbol to the plot as regular text (NOT as subscript), e.g. with: mtext("Male\u2642") This displays the word "Male" followed by the male symbol on the plot. But "\u2642&q...

this is the problem: load this R data frame over the internet and save it to your hard drive. http://rss.acs.unt.edu/Rdoc/library/twang/data/raceproling.RData please show how to save a dataset of males only (the variable male=1) to a new dataframe. Then do the same thing for females (male=0). Then show how to recombine the two datasets to belike the original one except that the female observations come rst, then the male observations. This resultingdataset should be the same size as the original...

...iddle', 'North','South','East','West','Middle', 'North','South','East','West','Middle', 'North','South','East','West','Middle'), sex=c('Male','Male','Male','Male','Male', 'Female','Female','Female','Female','Female', 'Male','Male','Male','Male','Male', 'Female','Female','Female',...

Hi all, I have data like this: >sample <- read.csv(file="sample.csv",sep=",",header=TRUE) > sample stdate Domain sex age Login 1 01/11/09 xxx FeMale 25 2 2 01/11/09 xxx FeMale 35 4 3 01/11/09 xxx Male 18 30 4 01/11/09 xxx Male 31 3 5 02/11/09 xxx Male 32 11 6 02/11/09 xxx Male 31 1 7 02/11/09 xxx FeMale 29 1 8 02/11/09 xxx FeMale 23 5 9 03/11/09 xxx FeMale 25 9 1...

I'm trying to remove the elements "No" from the character vector

Hi, I have a data set similar to the following State Gender Quantity TX Male 1 NY Female 2 TX Male 3 NY Female 4 I need to calculate cumulative sum of the quantity by State and Gender. The expected output is State Gender Quantity CumQuantity TX Male 1 1 TX Male 3 4 NY Female 2 2 NY Female 4 6 I highly appreciate if someone can give me some hints on solving that in R. H...

Hey, Is it possible that R can calculate each options under each column and return a summary table? Suppose I have a table like this: Gender Age Rate Female 0-10 Good Male 0-10 Good Female 11-20 Bad Male 11-20 Bad Male >20 N/A I want to have a summary table including the information that how many answers in each category, sth like this: X Gender Male 3 Female 2 N/A 0 X A...

...rial for my students, and was planning on using Mann-Whitney U as one of the tests. I have the following (fake) data grade <- c("MVG", "VG", "VG", "G", "MVG", "G", "VG", "G", "VG") sex <- c( "male", "male", "female", "male", "female", "male", "female", "male", "male") gradesbysex <- data.frame(grade, sex) The grades is in the Swedish system, where the order is G < VG < MVG The idea is that they w...

To extwnd on Martin 's explanation : In factor(), levels are the unique input values and labels the unique output values. So the function levels() actually displays the labels. Cheers Joris On 15 Jun 2017 17:15, "Martin Maechler" <maechler at stat.math.ethz.ch> wrote: >>>>> Paul Johnson <pauljohn32 at gmail.com> >>>>> on Wed, 14 Jun

Hi, I have newbie question. Suppose I have the following data: temp <- data.frame(type1 = c("male", "female", "male", "female", "female"), type2 = c("low", "med", "high", "low", "med"), a = c(1,2,4, NA, 3), b = .... [TRUNCATED] temp type1 type2 a b c 1 male low 1 5 0 2 female med 2 N...

Hello, Say I have 2 columns, bmi and gender, the first being all the values and the second being male or female. How would I subset this into males only and females only? I have searched these fora and read endlessly about select[] and split() functions but to no avail. Also the table is not ordered. bmi gender -> bmi gender + bmi gender 1 24.78 male...

Hello, I'm trying to do bar plot where 'sex' will be the category axis and 'occupation' will represent the bars and the clusters will represent the mean 'income'. sex occupation income 1 female j 12 2 male b 34 3 male j 22 4 female j 54 5 male b 33 6 female b 67 7 male j 89 8 male b 65 9 female j 4...

...sh that it would not accept nonunique labels. I also understand it > is impractical to change this now in base R. > I don't think I succeeded in explaining why this would be nicer. > Here's another example. Fairly often, we see input data like > x <- c("Male", "Man", "male", "Man", "Female") > The first four represent the same value. I'd like to go in one step > to a new factor variable with enumerated types "Male" and "Female". > This fails > xf <- f...

Hello Helpers, I have some problems with fitting the model for my data... -->my Literatur says (crawley testbook)= Non-normality of errors-->I get a banana shape Q-Q plot with opening of banana downwards Structure of data: origin wt pes gender 1 wild 5.35 147.0 male 2 wild 5.90 148.0 male 3 wild 6.00 156.0 male 4 wild 7.50 157.0 male 5 wild 5.90 148.0 male 6 wild 5.95 148.0 male 7 wild 8.55 160.5 male 8 wild 5.90 148.0 male 9 wild 8.45 161.0 male 10 wild 4.90 147.0 male 11 wild 6.80 153.0 male...

...possible matches contribute one row each--i.e., this code gives me dataframe "t3" of 101,269 observations of 33 variables: >t3<-merge(t2,AB,by="id",all=FALSE) Dataframe AB (24 variables omitted from example dataframe): id sex age area 01 male adult LP 01 male adult LP 01 male adult LP ... 02 female subadult LP 02 female subadult LP 02 female subadult LP 02 female subadult LP ... 03 male subadult MR 03 male sub...