search for: creatinin

...other. Is there an easy way to do this? I'd like to achieve an elegant look similar to the look achieved by lattice in conditioned plots--for instance no space between panels. But unlike in straightforward conditioned plot, each panel may be on a different scale. Example. ? Plot Estrogen, Creatinine, and their ratio; all by the same predictor variable (say, Day). Or: In a longitudinal study of hormones in reproductive-age women, plot progesterone, estradiol, testosterone, luteinizing hormone, follicle-stimulating hormone, and thyroid-stimulating hormone all on one page, parallel. Note tha...

...ght/100)^2)" pred[c("weight", "length"), "BMI"] <- 0 imp <- mice(Data, method = meth, predictorMatrix = pred, maxit = 10, m = 5) But what If the formula for a variable is much more complicated, like with CKD-epi. The formula is: egfr_crea_ckdepi = function(creatinine, age, is_female, is_male) { if (length(creatinine) != length(age) || length(creatinine) != length(is_female) || length(creatinine) != length(is_black)) { stop("input vector lengths must match!") } a = ifelse(!is_black, ifelse(!is_female, 141, 144), ifelse(!is_fema...

Dear friends. I wanted to reproduce a sheet of paper useful for plotting the reciprocal of some biochemical variable (creatinine) over time (Bleyer Am J Kidney Dis 34:576-578,1999). Time on X axis with units years and months. On Y axis, 1/creatinine, but with the original creatinine value indicated - to make it easier for people to use it. When using the graph, the linear decrease in 1/crea over time will be useful for mana...

Dear Colleagues   I have the following code that generates a boxplot for one specific labtest:   boxplot.n(LBSTRESN~COHORT, main="Boxplot of laboratory data for XLXXX-XXX test=Creatinine", subset = LBTEST=="Creatinine", xlab = "Cohort Number", ylab = "Units = umol/L", varwidth=TRUE   I would like to know if there is a way to loop through the dataset and produce the boxplot for a number of specific labtest.   Looking at the documentation for loop...

...-----Oprindelig meddelelse----- Fra: Troels Ring <tring at mail1.stofanet.dk> Til: R-help <r-help at stat.math.ethz.ch> Dato: 20. november 1999 12:57 > >Dear friends. > >I wanted to reproduce a sheet of paper useful for plotting the reciprocal of some biochemical variable (creatinine) over time (Bleyer Am J Kidney Dis 34:576-578,1999). Time on X axis with units years and months. On Y axis, 1/creatinine, but with the original creatinine value indicated - to make it easier for people to use it. When using the graph, the linear decrease in 1/crea over time will be useful for mana...

...is to use the NMR measurements to understand what goes on in the kidneys since we know the partial removal of kidney tissue will result in progressive damage in the kidneys - the nature of that is what we want to understand. We have a blood sample from the rats just prior to sacrifice, and the creatinine concentration there is a good proxy for "renal function". So the course of concentrations of the metabolites are thought to be valuable in understanding the physiology. Some of these are thought to be correlated. We have two groups where sham animals have better renal function than...

I am running the sm.density.compare function amd I am getting the following error:   my code is  > sm.density.compare(LBSTRESN,COHORT,xlab="Units = umol/L"subset = LBTEST=="Creatinine")   Error in if (from == to) rep.int(from, length.out) else as.vector(c(from,  :   missing value where TRUE/FALSE needed   I do not understand the error and I have had no help when searching the WEB or the R documentation.   I have tried the sample program in the R doc:y <- rnorm(100) g &...

Dear friends. I have a paper (details below) examining the risk of renal failure after an operation. A logistic regression was done, and the coefficients to two regressors (age and creatinine) plus intercept with standard errors are given. These coefficients must be dependent in estimation, and when no details are given, I thought how I could most informatively get an impression as to how these standard errors materialized in uncertainty in predicting the risk of renal failure for...

...spline to the data coxph(Surv(TTFAIL, FFAIL) ~ pspline(CREAT6MO, df=4), data=anomaly1) the fitted response is essentially linear from 0 to 5 before turning upward, but it never gets outrageous due to the shrinkage towards linearity. Catching this type of issue with an extremely skewed variable (creatinine^4) would be very hard to do reliably. The primary message is that polynomials and biology are a bad mix. Terry Therneau

Hi all, I have a question and I do not know If I am at the right place to ask this question. But is there someone that has the formula of CKD-Epi in code in R? I have tried a lot of loops, but none of the approaches give me the right answer. Is there someone who has this formula coded? Thank you! [[alternative HTML version deleted]]

Mª Luz, si el comando de Carlos te devuelve 0 es que no hay NA's. Da igual que tus columnas sean caracteres o número. Lo que intuyo es que tienes celdas con la frase "NA" que interpretas como NA. Mandanos el summary de tu data.table y lo vemos... ----- Mensaje original ----- De: "MªLuz Morales" <mlzmrls en gmail.com> Para: "Carlos J. Gil Bellosta"