I'm doing lab work on wav format. Does anyone know where to download different types of files? For example, with a different number of channels or different depths.
I need something like bmp-suite
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I'm trying to visualize droplet simulation.
I deleted water molecules that is far from the system of interest during the simulation.
Therefore, the number of atoms decreases as model proceeds.
However, VMD could not recognize such pdb file, because of the way it working.
I found a way to use multimolanim plugin with separated files, but I have more than 1000 frames...
Is there an other way to visualize such PDB file??
I am struggling a bit with an analysis I need to do. I have collected data consisting of little owl calls that were recorded along transects. I want to analyse these recordings for similarity, in order to see which recorded calls are from the same owls and which are from different owls. In that way I can make an estimate of the size of the population at my study area.
I have done a bit of research and it seems that the package warbleR seems to be suitable for this. However, I am far from an R expert and am struggling a bit with how to go about this. Do any of you have experience with these types of analyses and maybe have example scripts? It seems to me that I could use the function cross_correlation and maybe make a pca, however in the warbleR vignette I looked at they only do this for different types of calls and not for the same type call from different individuals, so I am not sure if it would work.
to be able to run analyses with warbleR you need to input the data using the "selection_table" format. Take a look at the example data "lbh_selec_table" to get a sense of the format:
library(warbleR)
data(lbh_selec_table)
head(lbh_selec_table)
The whole point of these objects is to tell R the time location in your sound files (in seconds) of the signals you want to analyze. Take a look at this link for more details on this object structure and how to import it into R.
Does someone know where I can find the full files (Matrix, Barcodes and Features) in GEO datasets? I've been trying to download that from previous studies for a long time ago in order to reproduce the results, but I cannot find them. For example, in some GSE, it is possible to find the 3 files, but in others, it is not! May I missing something? I mean, ought I proceed in a different manner?
Thank you so much!
Below there are 2 clear examples for what I'm referring to:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE158380
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE108788
Not every submitter deposits the processed data. Even when they do, they are free to attach it to the series (GSE) or the sample (GSM). In the second example, the UMI counts are on GSM as a CSV, rather than the typical CellRanger output: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM2913270.
I have a set of 300 questions categorized by 4 raters in 4 separate excel files. The questions have been classified according to the content of those questions. Some questions can be labelled under multiple categories. An excel file looks something like this example.
I am interested in determining to which extent are those 4 ratings similar? Namely, I have 2 specific questions.
How should the data set look like? I am planning to merge those 4 excel files into a wide format like this: example excel file
then recode "x" into "1" and empty cells into "0".
Which is the best package to determine the similarity of categorizations? I was advised to check out Krippendorff’s Alpha (irr package), but to my understanding, this approach is not suitable for situations where text is rated under multiple categories. Also, please let me know if there are more optimal ways outside of r-studio to calculate inter-coder reliability.
As the title says, I'm not a programmer. I've tried R before, got very confused and abandoned it. I'm a physician, and I do all my statistics either with SPSS or Excel. I'd like to learn some coding for when I get into problems like this:
I have an ascii file that I'd like to extract data from. The fields are contained within columns of variable width. 90% of the file is useless to me. For example, the fields I'm interested in extracting are encoded in columns 00645-00649, 03315-03319, etc. I'd like to get this into a format so I can run stats in SPSS/Excel. Should I be looking to use R, Python, something else or am I totally beyond hope?
Thanks in advance.
It's impossible to say for certain given only the information here, but the DATA LIST command in SPSS may well allow you to read the data into SPSS directly from the current file. If you can specify the column locations of the desired variables, you can specify those on that command, and SPSS will simply skip over the unnamed columns.