search for: antibiotics

Hi, I've a question about the qplot. I use facets=Antibiotics~Gram.Stainng to draw 6 plots in a panel. Now the problem is within each 'Gram.Staining' categorical level there are some antibiotics does not have value (in my case is log(MIU)). Because some antibiotics are positive gram staining and some are negative. So my question is how to remove th...

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Hola! I am programming a class (S3) "symarray" for storing the results of functions symmetric in its k arguments. Intended use is for association indices for more than two variables, for instance coresistivity against antibiotics. There is one programming problem I haven't solved, making an inverse of the index function indx() --- se code below. It could for instance return the original k indexes in strictly increasing order, to make indx() formally invertible. Any ideas? Kjetil Code: # Implementing an S3 class...

.../check_results_vcdExtra.html But, I can't see what to do to avoid this, nor understand what has changed in R devel. Sure enough, CRAN now reports errors in examples using MASS::loglm(), using R Under development (unstable) (2013-09-11 r63906) > Caesar.mod0 <- loglm(~Infection + (Risk*Antibiotics*Planned), data=Caesar) Error: could not find function "loglm" In DESCRIPTION I have Depends: R (>= 2.10), vcd, gnm (>= 1.0.3) Suggests: ca,gmodels,Fahrmeir,effects,VGAM,plyr,rgl,lmtest,MASS,nnet,ggplot2,Sleuth2,car and the vcd DESCRIPTION has Depends: R (>= 2.4.0), grid, sta...

...rrhea, weakness, and severe abdominal cramps.</p> <p>Treatment from a doctor is rarely necessary, unless dehydration occurs, says the NLM. To prevent dehydration, drink plenty of fluids, but avoid milk or drinks with caffeine. You should also avoid solid foods while severely nauseated. Antibiotics usually aren''t needed.</p> ]]></body>^M <attribution><![CDATA[-- Diana Kohnle]]></attribution>^M <source><![CDATA[]]></source>^M <feature_blurb><![CDATA[]]></feature_blurb>^M <feature_image></feature_image>^M...

Hello list, I want to make a large rulebased algorithm, to provide decision support for drug prescriptions. I have defined the algorithm in a function, with a for loop and many if statements. The structure should be as follows: 1. Iterate over a list of drug names. For each drug: 2. Get some drug related data (external dataset). Row of a dataframe. 3. Check if adaptions should be made to

...t_5 sect_6 sect_7 sect_8 sect_9 sect_10 sect_11 sect_12 sect_13 sect_14 sect_15 sect_16 sect_17 sect_18 sect_19 sect_20 sect_21 sect_22 sect_23 advance 0 0 0 0 0 1 0 0 0 0 4 0 0 0 2 0 0 0 0 0 0 0 0 aed 0 1 3 0 0 1 0 0 0 0 4 0 0 0 0 4 2 3 0 0 0 1 1 agree 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 antibiotics 0 0 0 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 1 0 0 0 However, the texts/segments are typically of different lengths and the analysis program doesn't calculate proportional frequencies. (NB: It also doesn't select *all* words in the texts, so it is not possible to calculate true percentages &quot...

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Dear, I want to analyze an outcome in an RCT using lme but I am not sure that I have chosen the right way for the model. We measured the outcome three times repeatedly in the same patient. One time before intervention and two times after intervention. I wanted to adjust for the correlated data in the repeated measurement and baseline differences in the variable in order to get the treatment