R Factors - Science topic

Hi all,

I need to calculate rainfall erosivity for a basin in Thailand and due to data limitation, I only have daily rainfall data. I have been using the Arnoldus (1977) (as presented by Chen et al. 2023 - see attachment)to calculate annual rainfall erosivity. However, I am a little stumped on how to calculate monthly rainfall erosivity with this formula. I assume that I just need to remove the sum in the log part but am not 100% certain that is the right way to proceed.

Can anyone please let me know if my approach is correct and if not, how I should proceed in this case?

Many thanks

Hello!

I just started to use GSASII and I am having trouble to find Rexp after refinement. I see on the tab covariance GOF (goodness of fit), wR (Rwp), but I cannot find Rexp. Can you help me?

Thank you!

Kind regards,

J.V.

hi

i have calibrated a snow/glacier-fed mountainous watershed.

The calibration results are good with R2 and NSE >0.80 and p factor 0.77 and r factor 0.71, PBIAS 7.5

I have got the following values.

v__SFTMP.bsn                  -1.750000 v__SMTMP.bsn                  -5.850000 v__SMFMX.bsn                  1.100000 v__SMFMN.bsn                  2.100000 v__TIMP.bsn                   0.083333

I am using RUSLE model for determining erosion in watersheds of Nepal. I want to know the level of erosion due to precipitation in monsoon. So can I use precipitation of only monsoon months (June- September) in the model instead of average annual precipitation ?

Hi I'm trying to extract the parameter related to quality control of PDB file from X-ray crystallography .

parameters such as R, R-free value are available in header file of PDB but I couldn't find

real space r-value and real space correlation coefficient.

Is there any other place that I can find these information or

any other public tool to calculate these parameter?

Thanks

Dear RG members,

pl provide some information regarding how to separate a mixture of 4-nitrobiphenyl and 4-nitrobromo benzene as they both have same Rf in EA, Hexane, DCM, PE, diethylether, MEOH and a mixture of EA/Hex, Hex/DCM, PE/Hex, PE/EA, Diethylether/Hex, Diethylether/EA with various proportion. Literature reports the clean NMR of Biphenyls from Suzuki Coupling reaction. can anyone help me to separate these products. In TLC plate both 4-nitrobiphenyl and 4-nitrobromo benzene have single spot. but crude NMR consists Peaks of both reactant and product.

Hello everyone, I am doing calibration of Flow for my watershed. My concern is, I am stuck with the value of NSE, R2 and PBIAS. only the p-factor and r-factor changes into decreasing value.

How to decrease the value of CN2 and ALPHA_BF? These parameters belongs to the most sensitive parameters in my model.

What do I need to check to verify these values?

Thank you!

barplot in r software.

by the way, what is the acceptable vale for R-factors

Is there any equation for R factor (for RUSLE), using Annual Precipitation data in Khulna, Bangladesh. Or is there any other method for determining the R equation using local data for each station? I have daily, monthly and annual precipitation data for my study area for each station.

I required to extract rainfall erosivity factor (R) from gridded rainfall data ( TRMM, TMPA or IMERG). For that reason, I want to use statistical programming language R. Can anyone provide me the code for that? Thank you in advance.

Using matlab

Could you please help? I want to refine the BaFe11.7Mg0.3O19-d. I used the room temperature synchrotron x-ray data (l=1.196132). For Rietveld refinement, I used FullProf software. Accordingly, I got Bragg R-factor: 3.377, RF-factor: 2.261, Rp: 15.5 Rwp: 17.6 Rexp: 10.73 and Chi2: 2.69. I got one notification “Conv. not yet reached -> [Max] Shift(Bck_72_pat1)/(eps*Sigma)= -1.05 abs> 1” How can I solve this issue? Are these values acceptable for good fitting? Following is the fitting pattern.

The whole data was collected on Likert scale. I am using Prof. Gaston's plspm package in R for SEM modeling. I think different age groups must have differences. But, I can't test differences of more than than two groups at structural level. My question is, if I divide the data into various age based subgroups and prepare SEM models separately for each subgroup. Is it meaningful? How to justify the models are significantly different? I was not able to perform ANOVA test to check the difference among models. What should I use? Please guide me Thanks

I am using "PLSPM" package in R. I received a warning message of "Setting row names on a tibble is deprecated". I am not an expert in programming. I want to know what are the effects of this warning message on my model? and how to fix it ? if it can influence my model.

What are the most valuable lessons you've learnt after using R?

How does the Bragg-R factor value effects the chi-square value?

The structured area does not have a particular geometrical feature all over the surface e.g. cone, pillar, or holes. Moreover it is has the feature of micro capillary (valley of width 50 microns) with nano-features on the top of these micro-capillaries. Can we calculate roughness factor (r) from the atomic force microscopy(AFM) images?

Regards,

Nancy

i'm working on Universal soil Loss equation to estimate the soil loss occurred in south Sinai region using GIS tool, but i have problem in estimating the R-factor in USLE due to leak of data, so i suppose to estimate R-factor from the available annual rainfall data

for the study area of Manipur state, how to download TRMM data annually to compute soil erosivity factor (R) in GeoTIFF or shape-file format ?

I am doing SEM for a model consisting latent structure as

model <- ' PE =~ q1 + q2 + q3

EE =~ q4 + q5 + q6

FC =~ q7 + q8 + q9+q10 + q11 + q12

TR =~ q13 + q14 + q15 +q16 + q17

EC =~ q18 + q19 + q20+q21 + q22 + q23

BI =~ q24 + q25 + q26 + q27'

I am using lavaan package for analysis, I want to check AVE for each construct and also correlation of all construct for checking discriminant validity.

To calculate the value of Response Modification factor "R" of any structure, a nonlinear static analysis can be done and for that linear static design is usually carried out. During that stage, a vale of R (based on the standard followed) is given to calculate the base shear for design. Doesn't that predefined value affect the final result?

Factors influencing occupancy and detection on opossums via camera trapping study

statistical analysis undertaken in R studio via the unmarked package.

I have a site covariate as distance to the nearest trail and an observation covariate of number of humans detected on the cameras per day.

I feel that these would correlate, but they are both included in my final model

Is there a way of doing a correlation test (cor.test) on these covariates?

My methods of trying have not worked so far.

To identify exact factor of resistance of drugs

To take measure on drugs cost

The peak seismic drifts of steel MRFs are calculated by amplifying the elastic deformations due to the design lateral forces with a deflection amplification factor (DAF). The European and the Canadian codes define the DAF to be equal to the response modification factor R while the ASCE 7-10 defines the DAF to be equal to 0.6875R. Any thoughts about why there is this variance between the seismic codes.

Hi everyone, I am looking for advice on solving RNA structure. I collected one dataset which has a high resolution around 1.5 A in H3 space group.The RNA contains 23 nucleotides, I calculated the cell content, it suggested two strands in asymmetric unit. when I analyse the data by phenix Xtriage, it said that the data had translational NCS and may also have an NCS rotation axis parallel to a crystallographic axis. And it said that the data had a higher crystallographic symmetry (R32:H). So when I processed the data to R32 and recalculate the cell content, it suggests that 1 strand in asymmetric unit and still has translational NCS. I used a high sequence identity published structure as a search model to perform molecular replacement, it output a solution with high TFZ (26.8) and LLG, but when I open it in coot, the electrondensity doesn't fit well and did refinement, the R factors are very high, around 47-48%. So do you ever encounter such situation during solving the RNA structure? Look forward to your advice. Thank you.

Hello All,

Thank you so much for your intelligent responses to my public questions in the past and to that of others for which you have provided answers. I am trying to determine the erosivity from an hourly rainfall data. Usually, to determine erosivity from such a data (1 hr rains) I need information on intensity. To calculate intensity, do I need use rainfall amount/time. Or the amount of rainfall within that hr is its intensity per hr? What if it is a 30 min rainfall, with 10mm of rains. What is its intensity?

The major challenge is this, how do I determine the rainfall intensity for use in the erosivity equation when I have one hourly rainfall? I think most of the paper I read are really vague about this.

I hope I can get this clarity.

Given the different quality metrics for protein models based on XRD and NMR data, I want to know your opinon.

In particular, how good is the agreement between NMR and XRD-derived structures? In case of disagreement, which method would your trust better (assuming both were reasonably conducted)?

When facing the solution of a structure de novo, how is the method chosen? How much does it cost to solve a structure by X-ray compared to NMR?

Thank you very much for your insights!

Hello, I am pursuing the below research question:

How does species composition change within 64 plots in response to the addition of treatments both independently and interactively?

I am using Bray-Curtis distances for my analysis. I have chosen the PERMANOVA as my data is highly non-normal and also because I desire to look at overall community differences. Thus far, I am able to execute the PERMANOVA in r (using: comm.div<-adonis2(comm.BC~Shelter*Nutrients*Burn, data=community, permutations = 999, method="bray"). To my understanding and based on the output, I do get the individual and interaction effect significance.

I want to make sure that I correctly perform PERMDISP using "betadisper" somehow taking into account my factors and their interactions. Is it supposed to be performed before PERMANOVA much the same way we would first perform a Lavene's test? Additionally, what coding could I use to input my interaction terms in the "group" function of "betadisper?" They are currently being called from a data table in which each treatment is a column and the rows are one of two levels (y/n).

I have gotten a lot of confusion regarding how to interpret the results of the PERMDISP test, as well. What does its significance mean in regards to PERMANOVA? (I.e. I've read that you need to corroborate PERMANOVA results with differences in PERMDISP.)

Much thanks for any answers or insights you can provide.

Respected sir,

I am Ph.D student studying at IIT Gandhinagar. I am currently exploring seismic analysis and design of liquid storage tanks. I am currently comparing all the codal provisions related to steel storage tanks. I reviewed certain codes (API, NZSEE, EC-8,IS 1893) and found that none of the codes consider soil structure interaction analysis for detemination of R factor, since for broad tanks I found that SSI increases base shear and base moment. So my question does consideration of SSI will create a significant influence on R valve.

Hi,

Please let me know is this the right approach for the calibration of flow in SUFI2?

1. I should first check the performance of initial model with observed data :

i. Should I compare the simulated results given as "flow_out" in the "rch" file in SWATOUTPUT.mdb with the observed data?

ii. Should this be performed for the whole discharge period or only the period for which I intend to perform calibration?

iii. Should I compute the waterbalance before doing calibration using my first model and pleae let me know what else i should check apart from comparing the observed and simulated discharge in the first step.

2. Based upon the comparsion of simulated and observed flow I should do the regionalisation of parameters.

2. Sensitivity Analysis to find out the parameters most sentive for the watershed with regards to flow.

3. I should set the range for the parameters identified in step 3.

Can i first use the ranges provided as default in SWAT-CUP or I should set the ranges based on literature review (in case I find any). For this step I should run the simulations from 500-1000 times and check the values of Objective funcion and 95PPU and r-factor. If the ranges are satisfactory then those ranges set for the parametsr will be final otherwise i should repeat the model for another 500-1000 simulations by changing the ranges.

please correct me if my approach is wrong.

thanks

I recently submitted a paper where I stated the fabrication of a single-phase material. Using the MD Jade software for the XRD analysis, I matched all the peaks with the PDF of that very respective material. I also performed Rietveld refinement and whole pattern fitting, though I did not submit those data initially. Now the reviewer wants a table with refinement results to prove goodness of fit and insert the crystallographic lattice, ions positions and other results. I went through the article R factors in Rietveld Refinement : How Good is Good enough. Any sort of guidance would be appreciated. Thank You.

Dear all!

Does anyone refined the crystal structure using the Huber G670 data (with Guinier Camera) and the Jana2006 software and powder sample? I have got not bad diffractograms, but cannot refine anything, except background, zero-shift and unit cell parameters (final diffractogram is given). If I introduce any profile parameter, the R-factors grow and the refinement stops...

The data XY txt file is given.

Structure parameters: R3C (161); a ~ 10.82; c ~ 38.04; angles: 90-90-120

Co K alpha1 irradiation

Thanks!

what is the response reduction factor for composite structure as par IS 1893 ?

for such type of structure the value for R-factor is not given in IS 1893. what should i take the value of R-factor in analysis of composite structure?

Hi all, 

I have obtained a 1.5 A dataset of a protein-peptide complex from synchrotron and am building a model with Phaser MR and Molrep separately. Both programmes build the protein part perfectly but in Phaser MR the solution only gives part of the peptide density, while from Molrep I did see nearly the whole peptide. Because the model I used contained itself the peptide, I am worried that if the molrep solution is subject to model bias. Any idea how to make sure of this?

For more information, I refine the model in Coot and run Refmac. The statistics are:

Resolution limits = 22.164 1.550

Number of used reflections = 75160

Percentage observed = 97.5762

Percentage of free reflections = 0.0000

Overall R factor = 0.2547

Overall weighted R factor = 0.2710

Overall correlation coefficient = 0.9260

Cruickshanks DPI for coordinate error= 0.1068

Overall figure of merit = 0.8387

ML based su of positional parameters = 0.0582

ML based su of thermal parameters = 1.5322

Is there anything wrong with 'Percentage of free reflections = 0.0000' ?

Thanks.

in metal complexes, Give some ideas to reduce " R-factor " .