similar to: How to visualize relation between two sets of rel. frequencies?

Hello, Before I start to construct something inferior myself I would like to know if such a plot function is already out there. I have count data of a small survey with a few questions which use a scale from "Strongly disagree" to "Strongly agree" and similar things. What I would like to have for a slide is a plot which shows for each question a line over this scale and the

Hi, I'm trying to create a stacked bar plot with the satisfaction scores from a customer satisfaction survey. I have results for three stores over several weeks and want to create a weekly graph with a stacked bar for each store. I can flatten the dataframe into a table with absolute frequencies, but I can't find how to get relative frequencies. My dataset looks similar to the example

First of all, I really like R! Still being a newbie, I find things (the difficult ones) to be very simple. Alas, some 'simple' things still escape me. (Maybe the tutorials are often too much focused on the 'difficult' items??) Here comes my 'problem', over which I have sweated for the last 2 hours: My data are of a matrix 10x31, Likert Scale (1-5). 10 questions, 31

Dear all, I am currently trying to link R 2.1.0 to the GOTO BLAS 0.99.3 library on a box running Fedora Core 3 , basically following the steps indicated in the R-Admin document: 1: I downloaded the current libgoto.xxx.so from http://www.cs.utexas.edu/users/kgoto/libraries/libgoto_prescott-32-r0.99-3.so.gz, a version suitable for our XEON machine (Nocona core), unpacked it to /usr/lib and created

R- Help Forum Working with the "likert" package and I can't figure out why my "bar" graphs are backwards (see attached). The percentages are place correctly but the bars are backwards. #Sample code # libraries library(likert) # create data band <- c("Band 3","Band 3","Band 3","Band 3","Band 3","Band

Gracias Jorge. Pero tiene que ser otra cosa. El Renviron está bien y unzip está en ese path. Y al hacerlo como indica Oscar no hay problema con el unzip Miraré como está en otro Linux que si funciona a ver que puede ser. Pero será después de Navidad. Saludos [[alternative HTML version deleted]]

Si. Pero no funciona. En ordenador curro si funciona y tb tiene linux. Seguiré investigando has probado con: install_github('paquete",username='usuario')? 2013/12/20 Jose Luis Cañadas Reche <canadasreche@gmail.com>: > Hola a todos. > > Estoy intentando instalar el paquete likert utilizando devtools y obtengo el > siguiente error > > library(devtools) >

Hola a todos. Estoy intentando instalar el paquete likert utilizando devtools y obtengo el siguiente error library(devtools) install_github('likert','jbryer') Installing github repo(s) likert/master from jbryer Downloading likert.zip from https://github.com/jbryer/likert/archive/master.zip Error en function (type, msg, asError = TRUE) : <not set> Me pasa también con

I'm creating a stacked bar chart using the likert command in the HH package. My data are in a data frame, with two numeric variables and a categorical variable, I can't get likert to use the column containing the categorical variable as a my y axis label. Here is a quick example: library(HH) #my data are:

Hi, I have just found this forum, and it looks like a great place to get some help (I hope) For my dissertation, which is due way too soon, I am doing a survey, comparing attitudes of 2 independent groups, with 5 scale likert questions. Basically I want to show if they have similar or different attitudes. I am testing 4 hypotheses, and have in total about 20 questions. I have to say my

Dear R members Could someone tell me how to simulate Likert-type data using the rnorm function. Let's say, 200*15 random numbers in a variable that goes from 1 to 4 in steps of 1 (i.e., 1, 2, 3, 4) belonging to a normal distribution? random.data <— matrix(rnorm(200 * 15), nrow = 200, ncol = 15) random.data The result cannot be reached. could one help me revise the syntax?

R- Help Forum Working with the "likert" package and find that my "bar" graphs are backwards (see attached) > summary(results) Item low neutral high mean sd 4 Q4 5 15 80 2.75 0.5501196 5 Q5 20 40 40 2.20 0.7677719 1 Q1 65 30 5 1.40 0.5982430 3 Q3 5 90 5 2.00 0.3244428 2 Q2 90 10 0 1.10 0.3077935

Gracias Oscar. Funciona perfectamente. Ya investigaré más adelante porque no funciona install_github Saludos y feliza navidad.. El 20/12/13 23:05, Oscar Perpiñan escribió: > tmp <- paste0(tempdir(), '/likert.zip') > download.file('https://github.com/jbryer/likert/archive/master.zip', > destfile=tmp, method='wget') > unzip(tmp,

Help with survey data: Hello R colleagues, I hope this is an appropriate place to direct this question. It relates specifically to the comparability of a 5-point likert to a 4- point likert scale. One question in my dataset asks "How much should be done to reduce the gap between rich and poor" Much more, somewhat more, about the same, somewhat less and much less. The second

Dear everybody, In our game-theory lesson we have run several classroom-experiments where the students had to decide for a natural number between one and seven. I have troubles now to visualize the results: be a the vector of answers. hist(a) will not assume natural numbers as answers, but rational. It will make the brakes exactly at the natural numbers, which is difficult to interpret, as

Hi everyone, I'm stuck on my dissertation which is due next week. I'm a business major student and my project is a comparative research on corporate social responsibility (CSR) between Chinese and German firms. According to my literature review, it's quite obvious that German firms have much better CSR initiatives and strategies than the Chinese ones and I wanted to test whether it was

Dear Richard,? Thank you very much for your reply. I went through the code and it worked. I was also able to change the colours.? I was wondering if I can change the legend position; instead of being in the bottom to be on the left side.? I tried the following but without any success strip = FALSE strip.right = TRUE likert(t(hellisheidi), ReferenceZero=.5, xlab="X-lab",

Dear colleagues, I would like to run a cluster analysis on a number of variables. They are Likert Scale (0 to 10), but they also have a "Don't know' option at the end of the scale. Apparently, with the 'Don't Know' option in place, they cannot be considered to be linear or ordinal. How can these variables be analysed using R? One option would be to use poLC and treat

Dear list, I have the following how-to-do it in R, questions. Suppose I have ten independent variables, and one dependent variable. I want to find the Pearson correlation of all the IVs with the DV, but not the correlation between the IVs. What I know so far, about R, that I have to type the cor () function ten times, each time requesting for a correlation between one IV and the DV. I was

Hi! I am using R to process some community survey data. Several item responses are recorded via a 7-point Likert-Scale. As I have coded the responses, 1 represents high agreement, and 7 high disagreement. This of course impacts the coefficients in a linear regression (of example agreement to self-perception measures on housing satisfaction). For some purposes, in order to make the coefficients