search for: serum

...ciated. Tried to instal Hmisc but got this message, so I assume I have it > utils:::menuInstallPkgs() Warning: package 'Hmisc' is in use and will not be installed ran the demo from Hmisc with no luck... > set.seed(1) > ch <- rnorm(1000, 200, 40) > ecdf(ch, xlab="Serum Cholesterol") Error in ecdf(ch, xlab = "Serum Cholesterol") : unused argument(s) (xlab = "Serum Cholesterol") ran the sample code from stats and it worked... > x <- rnorm(12) > Fn <- ecdf(x) > Fn # a *function* Empirical CDF Call: ecdf(x) x[1:12...

Hello, Has anyone out there encountered a problem like this: xyplot(Plasma ~ Serum | Analyte, data = sp.df, aspect = 1, layout = c(1, 1, 200), scales = list(relation = "free") ) Gives the error: Error in pretty(x[is.finite(x)], ...) : x must be numeric On the other hand, this works (but I don't want the default of having everyt...

...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 [1] 2.25 > 1.89-0.36 [1] 1.53 > 2.06+0.53 [1] 2.59 > 2.06-0.53 [1] 1.53 > prop.trend.test(c(2.25, 1.53),c( 2.59, 1.53)) Chi-squared Test for Trend in Proportions data: c(2.25, 1.53) o...

Hi, I was wondering if there is a direct approach for lining up 2-column matrices according to the values of the first column. An example and a brute-force approach is given below: x <- cbind(1:10, runif(10)) y <- cbind(5:14, runif(10)) z <- cbind((-4):5, runif(10)) xx <- seq( min(c(x[,1],y[,1],z[,1])), max(c(x[,1],y[,1],z[,1])), 1) w <- cbind(xx, matrix(rep(0, 3*length(xx)),

Hello Everyone, I have three variables: Waist circumference (WC), serum triglyceride (TG) level and gender. Waist circumference and serum triglyceride is numeric and gender (male and female) is categorical. From these three variables, I want to calculate the "Lipid Accumulation Product (LAP) Index". The equation to calculate LAP is different for male and fema...

...hether your variables are in a data frame or list or whatever, which you failed to specify. If so, ?with may be useful. Cheers, Bert On Fri, Nov 3, 2023 at 3:43?AM Md. Kamruzzaman <mkzaman.m at gmail.com> wrote: > Hello Everyone, > I have three variables: Waist circumference (WC), serum triglyceride (TG) > level and gender. Waist circumference and serum triglyceride is numeric and > gender (male and female) is categorical. From these three variables, I want > to calculate the "Lipid Accumulation Product (LAP) Index". The equation to > calculate LAP is differe...

...two numeric variables and one dichotomize conditional category variables. Message-ID: <CAGbxoeGjsxZKQ6qijEMq-X-5doqnQQS1jjPDDrGT6hH5xWqOKQ at mail.gmail.com> Content-Type: text/plain; charset="utf-8" Hello Everyone, I have three variables: Waist circumference (WC), serum triglyceride (TG) level and gender. Waist circumference and serum triglyceride is numeric and gender (male and female) is categorical. From these three variables, I want to calculate the "Lipid Accumulation Product (LAP) Index". The equation to calculate LAP is different for male and fema...

Hello Is there an easy way, i.e. a function in a package, to calculate the area under the curve (AUC) for drug serum levels? Thanks for any advice -- Armin Goralczyk, M.D. -- Universit?tsmedizin G?ttingen Abteilung Allgemein- und Viszeralchirurgie Rudolf-Koch-Str. 40 39099 G?ttingen -- Dept. of General Surgery University of G?ttingen G?ttingen, Germany -- http://www.chirurgie-goettingen.de

...two numeric variables and one dichotomize conditional category variables. Message-ID: <CAGbxoeGjsxZKQ6qijEMq-X-5doqnQQS1jjPDDrGT6hH5xWqOKQ at mail.gmail.com> Content-Type: text/plain; charset="utf-8" Hello Everyone, I have three variables: Waist circumference (WC), serum triglyceride (TG) level and gender. Waist circumference and serum triglyceride is numeric and gender (male and female) is categorical. From these three variables, I want to calculate the "Lipid Accumulation Product (LAP) Index". The equation to calculate LAP is different for male and fema...

Dear all, Currently, I am doing a research project about serum sodium levels and falling. I am doing my analysis in R. I am performing the multiple imputation right now. I want to perform a survival analysis later, but therefore I need to specify the Nelson-Aalen estimator. My dataset is called DF1, the event indicator is Falls and the time variable is Time. T...

...two numeric variables and one dichotomize conditional category variables. Message-ID: <CAGbxoeGjsxZKQ6qijEMq-X-5doqnQQS1jjPDDrGT6hH5xWqOKQ at mail.gmail.com> Content-Type: text/plain; charset="utf-8" Hello Everyone, I have three variables: Waist circumference (WC), serum triglyceride (TG) level and gender. Waist circumference and serum triglyceride is numeric and gender (male and female) is categorical. From these three variables, I want to calculate the "Lipid Accumulation Product (LAP) Index". The equation to calculate LAP is different for male and fema...

Dear R-users, I have some human serum lipid concentrations (cholesterol, apoB ...), each lipid was measured (in the same person) for 6 times in different time points (start, 3 months, 6 months, 12 months, 18 months, 24 months). There were 2 groups of participants: one with a nutritional intervention and the other without it. I would li...

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...e data set below can be used. >numbers<-c(845,829,682, 689,581,495) Is there something wrong with this function? Or is there a better way to extract significant comparisons from a tukey test? Cheers, Rune ------------------------------------------- Rune Vejen Petersen, M.Sc.Eng. Statens Serum Institute Dept. of Infectious Disease Immunology Artillerivej 5, 81/344 DK-2300 Copenhagen [[alternative HTML version deleted]]

...found the thread on this subject this summer but wonder whether it has been taken any further. I have an important medical problem where X is computed from a three independent and complicated measurements (exchangeable sodium and potassium and total body water - i.e. X = (Nae+Ke)/TBW ) and Y is serum sodium concentration (all data in Edelman, JCI 1958). I have the individual data in the paper (but have not yet had time to enter it) and Edelman et al in fact reported measurement errors for most individual items. Edelman and coworkers made a linear regression of Y on X and now I would like t...

...ulate the concentrations of unknown, but it is too tedious and manual especially when I have 100's of files to process. I would appreciate some help in creating a R script to do this with minimal manual input. s A1-G1 and A2-G2 are standards serially diluted H1 and H2 are Blanks. A3 to H12 are serum samples. I am pasting the structure of my data below: A1 14821 B1 11577 C1 5781 D1 2580 E1 902 F1 264 G1 98 H1 4 A2 14569.5 B2 11060 C2 5612 D2 2535 E2 872 F2 285 G2 85 H2 3 A3 1016 B3 2951.5 C3 547 D3 1145 E3 4393 F3 4694 G3 1126 H3 1278 A4 974.5 B4 3112.5 C4 696.5 D4...

...nd see what the value of variables was at the point of the error. This could give you a clue about what is going on. -pd > On 22 May 2018, at 15:29 , A.C. van der Burgh <a.c.vanderburgh at erasmusmc.nl> wrote: > > Dear all, > > Currently, I am doing a research project about serum sodium levels and falling. I am doing my analysis in R. I am performing the multiple imputation right now. I want to perform a survival analysis later, but therefore I need to specify the Nelson-Aalen estimator. My dataset is called DF1, the event indicator is Falls and the time variable is Time. T...

Dear list, i am a biologist who needs to do some ttest between disease and non disease, sex, genotype and the serum levels of proteins on a large number of individuals. i have been using excel for a long time but it is very tedious and time consuming. i am posting the data below and ask your help in generating a code to get this analysis done in R. thanks gender disease genotype data M N CC 3.206447188 F N CC 8...

Hi, I have a simple dataset with repeated measures. one factor is treatment with 3 levels (treatment1, treatment2 and control), the other factor is time (15 time points). Each treatment group has 10 subjects with each followed up at each time points, the response variable is numeric, serum protein amount. So the between subject factor is treatment, and the within subject factor is time. I ran a 2-way ANOVA with repeated measures considering time as the within subject factor: aov(response~treat*time+Error(subject/time),dat) The results told me that the treatment is marginally signifi...

Hello Bernardo, --------- If I understood your problem this script solve your problem: q<-0.15 + c(-.1,0,.1) h<-10 + c(-.1,0,.1) 5*q*h [1] 2.475 7.500 12.625 --------- OK, this solves the simple example. But what if the example is not that simple. E.g. P = 5 * q/h Here, to get the maximum tolerances for P, we need to divide the maximum value for q by the minimum value for h, and