search for: respir

...0.200000 Phytoplankton Respiration Rate Constant @20 øC for Group 1 (1/day)...

How are sub/superscripts designated for text in axis labels? As in this y-axis label: scale_y_continuous("Respiration, pmol O2 h-1") where the "2" needs to be subscripted and the "-1" needs to be superscripted. Thanks. Adam --------------------------------------------------- Adam G. Marsh, Ph.D. Associate Professor Marine Biological Sciences University of Delaware Lewes, DE 1995...

...r the most part this is easy, e.g. by creating figures with: pdf(..., family='Times', pointsize=10) But where I have superscripts (or subscripts) in axis labels, the default seems to be to shrink the superscripted text slightly. For example this code: title(ylab=expression(paste('Respiration (mg ',O[2],' ',L^-1,' ',d^-1,')',sep=' ')),outer=T,line=0.3) produces superscripted numbers at approximately 7 point. I have been poking around for a solution but not having much luck. The textstyle() function keeps superscripted text at original size if...

Dear R-users Thanks to Jose Pinheiro, Douglas Bates and coworkes for providing R with the nlme package. Could someone help me, please, to specify a correct random formula for a mixed model, that specifies no random effect on a higher level? I have the following dataset of timeseries of respiration measurements (column resp) of biomass including a parameter initial biomass x0. Respiration measurements have been recorded in several experiments, each consisting of several replicates. str(rd) 'data.frame': 3229 obs. of 5 variables: $ suite : Factor w/ 3 levels "Face&qu...

I am trying to plot fitted lme values as a smooth line of a graph showing the exponential relationship between temperature and soil respiration. In the plot, the x-axis has temperature, and the y-axis has soil respiration. When I try to add a line showing temperature versus the fitted values, it is jagged and not smooth. Here is the code I used: lme.1<-lme(fixed=LnFlux~Temp, random=~1|Plt, data=resp) fit.1<-exp(fitted(l...

I'm running an ANOVA on some data for respiration in a forest. I am having a problem with my degrees of freedom. For one of my variables I get one fewer degrees of freedom than I should. I have 12 plots and I therefore expected 11 degrees of freedom, but instead I got 10. Any ideas? I have some code and output below: > class(Combined...

We are trying to build a human respiration model. Preliminary analysis of some breathing signals has shown that humans breathe through switching among a finite number of patterns. Hidden Markov seems to be the right approach. Since most of our code is written in R scripting language, finding an R package implementing an HMM that we can...

Hello R users, When trying to fit a nonlinear mixed model to a respiration time series, I get the following error message: Error in recalc.varFunc(object[[i]], conLin) : dims [product 30] do not match the length of object [34] In addition: Warning message: In conLin$Xy * varWeights(object) : longer object length is not a multiple of shorter object length Below...

...on with multiple entries. I have a big data file and would like to apply a function in multi thread to accelerate the processus. I have a data frame containing values of* CO2 in ppm (resp[i,6])* that I want to convert in umol of CO2 emitted by stem volume biomass (CO2v) and stem area (CO2s). (tree respiration) The loop that I have is calculating the CO2 fluxes for each row. *Script :* for (i in 1:nrow(resp)) { k=resp[i,5] CO2umol[i]<-resp[i,6]*((Press*infoch[k,11]*1e-6)/(R*(resp[i,7]+273.15))) CO2v[i]<-CO2umol[i]/(infoch[k,10]) CO2s[i]<-CO2umol[i]/(infoch[k,9]) } For that, I have two d...

#I would like to interpolate a straight line between 06/08/06 04:16:00 - 06/08/06 20:31:00 with values and then sum them. This is an estimate of ecosystem #respiration and I will be using this in a larger context(48 days of these diurnal curves), but for right now I am just trying to figure out how to do it for this one #day example. I have some other code for Ecosystem (stream) Metabolism that I am trying to work up into a package, but I am still assemblin...

...) 9 : term verbatim(label=SiteGCS_Eyes) 10 : term verbatim(label=SiteGCS_Verbal) 11 : term verbatim(label=SiteGCS_Motor) 12 : term verbatim(label=SiteGCS_total) 13 : term verbatim(label=SBP) 14 : term verbatim(label=DBP) 15 : term verbatim(label=HR) 16 : term verbatim(label=RESPIRATION) 17 : term verbatim(label=PF_ADMIT) 18 : term verbatim(label=O2_admit) 19 : term verbatim(label=Ph_admit) 20 : term verbatim(label=DEFICIT) 21 : term verbatim(label=lactic_acid) 'content_1.xml' has been Sweaved Removing content.xml Post-processing the contents E...

...se data at 12 stations along the savannah river for two years now. The longest set of readings that are continuous without interuption is 53 days. I would like to look at the power spectral density at each of these sites (most likely one day will be the overridding trend due to photosynthesis and respiration). I would also like to look at the cross spectrums between to contiguous site to look for advective transport from the upstream sections.I have used spectrum to get a periodogram. This I don't believe is the power spectral density. If it is I am unsure how to determine the # in the spa...

I am using the gls function of the nlme package to analyze data sets of soil respiration which have the following design: 3 complete blocks x 5 sampling dates (time from fertilization) x 3 fertilization levels. The fertilization dates are equal for all subjects (blocks) but not periodical (-46, 10, 24, 53, 123 days from the event). The code that I've been using is: fit.csnC...

I am trying to run an ANOVA on my soil respiration data, but I keep getting residual sum of squares and mean square of zero. As I understand it that would mean that the model terms explain all of the variation in the response variable. That should be virtually impossible, should it not? Where do I begin troubleshooting such a problem? --...

Can you please try doveadm exec imap -u username_of_the_user 1 LIST "" "*" and see if it is there? Aki > On 22/02/2023 14:28 EET Nikolaos Milas <nmilas at noa.gr> wrote: > > > On 21/2/2023 9:56 ?.?., Aki Tuomi wrote: > > Can you enable mail_debug=yes, restart, ask the user to access the folder(s) and provide those logs? > > > > Hi

Greetings R users, maybe there is someone who can help me with this problem: I define a function "optim.fun" and want as output the sum of squared errors between predicted and measured values, as follows: optim.fun <- function (ST04, SM08b, ch2no, a, b, d, E) { predR <- (a*SM08b^I(2)+b*SM08b+d)*exp(E*((1/(283.15-227.13))-(1/(ST04+273.15-227.13)))) abserr

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