search for: femal

...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 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...

Hi, Im having trouble creating the following graph. Here is my code: library(plotrix) library(prettyR) female_improvement <-read.table("C://project/graphs/gender/breakdown/gender-improvement/female-improvement.csv", sep=",", header=TRUE) barp(rbind(rep(length(female_improvement$gender),2),freq(female_improvement$reason)[[1]]), ylab="22 Males participated in the survey", co...

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...

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

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...

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 NA 0 3 male high...

...39;,'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','Female','Female', 'Male','Male','Male'...

This dataset below is one sample answer the questioner from our customer. > testbank <- read.table("testbank.txt", header=T) > testbank age married income gender ownhouse class 1 20-30 no high female yes 1st 2 30-40 no high female yes 1st 3 40-50 no low female yes 1st 4 50-60 no high female yes 1st 5 60-70 no high female yes 1st 6 20-30 no high female yes 1st 7 20-30 no medium female yes 1st 8 20-3...

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. Hao -- Vie...

I want to write a function to standardize regression predictors, which will require me to do some character-string manipulation to parse the variables in a call to lm() or glm(). For example, consider the call lm (y ~ female + I(age^2) + female:black + (age + education)*female). I want to be able to parse this to pick out the input variables ("female", "age", "black", "education"). Then I can transform these as appropriate (to get "z.female", "z.age", etc...

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 1 24.78...

Hi I have a question regarding an output of a binomial lmer-model. The model is as follows: lmer(y~diet * day * female + (day|female),family=binomial) The corresponding output is: Generalized linear mixed model fit by the Laplace approximation Formula: y ~ diet * day * female + (day | female) AIC BIC logLik deviance 1084 1136 -531.1 1062 Random effects: Groups Name Variance Std.Dev. Corr femal...

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...

Dear R users, I have a problem, which I can not find a solution. Probably someone could help me? I have a result from my classification, like this > credit.toy [[1]] age married ownhouse income gender class 1 20-30 no no low male good 2 40-50 no yes medium female good [[2]] age married ownhouse income gender class 1 20-30 yes yes high male poor 2 20-30 no yes high male good 3 20-30 yes no low female poor 4 60-70 yes yes low female poor 5 60-70 no yes high male poor [[3]]...

Buenas noches, mi pregunta es tal vez sencilla. tengo esta libreria y estos datos library(nlme) data(MathAchieve) Infoest = MathAchieve en esta base quiero contar la cantidad de casos en la que la columna Sex, toma el valor Female, como puedo hacerle el filtro para ver solo los Females. y como puedo dentro del mismo conjunto de datos agregar la variable numerica que me cuente 1 si es Female y 0 si no Muchas Gracias -- ALEXANDER U SANTO TOMAS - ESTADÍSTICA -- ALEXANDER U SANTO TOMAS - ESTADÍSTICA [[alternative HTM...

...row.vars = 2:1, col.vars = "Survived") Now take it a step further to try to add another dimension: b <- ftable(Titanic, row.vars=1:3) Survived No Yes Class Sex Age 1st Male Child 0 5 Adult 118 57 Female Child 0 1 Adult 4 140 2nd Male Child 0 11 Adult 154 14 Female Child 0 13 Adult 13 80 3rd Male Child 35 13 Adult 387 75 Female Child...

Hi, I'm trying to work through a Nested ANOVA for the following scenario: 20 males were used to fertilize eggs of 4 females per male, so that female is nested within male (80 females used total). Spine length was measured on 11 offspring per family, resulting in 880 measurements on 80 families. I used the following two commands: summary(aov(Spinelength ~ Male*Female)) and summary(aov(Spinelength ~ Male/Female))...

...n (and probably simple answer): How can I delete the HabitatDensity=="Med" from the dataset or table, so that I be left with a 2x2xK table. Thanks for any assistance. Kind regards, Scott > data1 Habitat HabitatDensity Sex Grass High Male Grass High Female Grass Med Male Grass Med Female Grass Low Male Grass Low Female Rock High Male Rock High Female Rock Med Male Rock Med Female Rock Low Male Rock Low Female Water High Male Water High 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...