similar to: similarity test with R

R-experts: A quick question, please. >From a lab exp, I got 12 positives out of 50. To get 90% CI for this , I think binom.test might be the one to be used. Is there a better way or function to calculate this? > binom.test(x=12, n=50, p=12/50, conf.level = 0.90) Exact binomial test data: 12 and 50 number of successes = 12, number of trials = 50, p-value = 1 alternative

I have the clinical study data. Year 0 Year 3 Retinol (nmol/L) N Mean +-sd Mean +-sd Vitamin A group 73 1.89+-0.36 2.06+-0.53 Trace group 57 1.83+-0.31 1.78+-0.30 where N is the number of male for the clinical study. I want to test if the mean serum retinol has increased over 3 years among subjects in the vitamin A group. > 1.89+0.36

What would be the R formulae for a two-sided test? I have a formula for a one-sided test: powertest <- function(a,m0,m1,n,s){ t1 = -qnorm(1-a) num = abs(m0-m1) * sqrt(n) t2 = num/s pow = pnorm(t1 + t2) } Would you pls let me know if you know of? Thank you, ej

I am getting "Chi-squared approximation may be incorrect in: chisq.test(x)" with the data bleow. Frequency distribution of number of male offspring in families of size 5. Number of Male Offspring N 0 518 1 2245 2 4621 3 4753 4 2476 5

A quick question, please! How do you extract a certain value of vector? i.e. x = c(2,5,3,6,21,3,6,24, ....) How do you get the 1st one (which is 2); the 5th one (which is 21); etc? thx much, ej [[alternative HTML version deleted]]

Hi everyone, Suppose I have a count the occurrences of positive results, and the total number of occurrences: pos <- 14 total <- 15 testing that the proportion of positive occurrences is greater than 0.5 gives a p-value and confidence interval: prop.test( pos, total, p=0.5, alternative='greater') 1-sample proportions test with continuity correction data: 14 out of

Hi, I would like to know the similarity between variables, but I don't exactly how begin and as from what dataframe or matrix! I have a matrix where in row I have 'Good', 'Medium','Bad' and in columns I have my Criterions ! What function and package should I use? Thanks a lot Sabine --------------------------------- ils, photos et vidéos ! [[alternative

Hi! is there a way in R to check whether the outcome of two different experiments is statistically distinguishable or indistinguishable? More preciously, I used the wilcoxon test to determine the differences between controls and treated subjects for two different experiments. Now I would like to check whether the two lists of analytes obtained are statistically distinguishable or

I encountered the following problem in R-2.4.0 for Windows binary downloaded from CRAN (data from R-help post by Ethan Johnsons). I was also using the contributed binary Rblas.dll for Intel P4 chip. The problem doesn't occur with the default Rblas.dll. x=c(3.05176E-05, 0.000457764, 0.003204346, 0.0138855, 0.04165649, 0.09164429, 0.1527405, 0.1963806, 0.1963806, 0.1527405, 0.09164429,

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A quick question please! How do you rename column names? i.e. V1 --> Apple; V2 --> Orange, etc. thx much ej [[alternative HTML version deleted]]

hie all i am trying to carry out a categorical data analysis but my problem is that when in i use the chi squared test some of my expected values are less than 5. is there a test that can handle this situation. the data is not a 2*2 table. its more from the social sciences where you have from strongly agree to strongly disagree. i know i can collapse vthe tables but there is a loss of

I have a quick question, please. Does R have function to compute i.e. a 90% confidence interval for the mean for these numbers? > mean (6,11,5,14,30,11,17,3,9,3,8,8) [1] 6 I thought pt or qt would give me the interval, but it seems not. thx much. ej

// R 2.3.1 Can someone please explain why this error returns? > y=numeric(100) > x=matrix(runif(16),4,4) > for(i in 2:100) + { + y[i]=which(rmultinom(1, size = 1, prob = x[y[i-1], ])==1) + } Error in rmultinom(n, size, prob) : too few positive probabilities thx much ej

I'm interested in clustering my data using the Gower Similarity Coefficient, and I was wondering if R is capable of using that metric Timothy Rye [[alternative HTML version deleted]]

Hola estimados miembros de la lista, Tengo una inquietud. Les cuento: tengo un conjunto de datos en un data.frame. Algunas de las variables que están en él son del tipo factor. Estos factores, naturalmente, tiene categorías: a veces demasiadas categorías y muchas de ellas con 1 individuo contemplando el data.frame más de 1 millón de individuos. Estas pequeñas cantidades creo que me están

Dear R-helpers, I have a number of point configurations representing skull shapes, but some of them contain superfluous points. I want to write a loop in which each configuration is plotted and I am asked to write the numbers of points that are superfluous. However, I don't know how to introduce this interactive element. Would you give me an advice? Best regards Ond?ej Mikula -- Ond?ej

Hi, I have the precision values of a system on two different data sets. The snippets of these results are as shown: sample1: (total 194 samples) 0.6000000238 0.8000000119 0.6000000238 0.2000000030 0.6000000238 ... ... sample2: (total 188 samples) 0.80000001 0.20000000 0.80000001 0.00000000 0.80000001 0.40000001 ... ... I want to check if these results are statistically significant? Intuitively,

https://bugzilla.mindrot.org/show_bug.cgi?id=2039 Priority: P5 Bug ID: 2039 Assignee: unassigned-bugs at mindrot.org Summary: Give proper credits for ECDSA patch Severity: normal Classification: Unclassified OS: All Reporter: ondrej at sury.org Hardware: All Status: NEW Version:

Sorry if this has been beaten to death here but I couldn''t find the exact answer I was looking for. In the app I''m writing, we convert the score to a percentage and display it with the search results. The problem is when you search for an exact phrase (for example) and it matches the title of a document exactly, you only get a 17% match. Has anyone seen a way to either curve