I have a data-file in excel as you can se in the picture :)
I have tried several codes to plot a graph with the time on x-axis and the temperature on the y-axis for mesh0-mesh5.
1.How is it possible inside R?
2. Is it fine to use excel format or should it be csv?
As you can see I had a excel file that I loaded into R. The problem is that in the original file Time and Ave was seperated by comma and not by columns. When I load it in to R the commas that seperates them do not appear. How can I seperate these two columns?
Now this column is for...
I have calculated RMSD for two different simulation to decide how large the error/standard deviation is.
How can I decide if the RMSD-value is small enough to show that there is no significant difference between the simulations?
I have simulated the velocity in an object using fluid dynamics in transiet mode using different mesh-sizes. When the mesh-size is increased the accuracy of the simulation will increase. However, to a point there will be mesh independency, but the simulation variables (e.g. velocity...
I am considering using a batch for each unit of 4 runs of total 16 runs, therefor I will have a total of 4 different batches (blocks). This to account for the variations found in different batches. I want to do it as it will be expensive to use 16 different batches. I also want to repeat the...
Right I am struggling with understanding the concept behind some statistic when I deal with this problem; I have an experiment where I want to understand how long it take a fluid to reach a specific temperatur and how it effects its nutritional content when during a heating process. So...
That make sense! Thank you.
I have another question :)
I choose that the factor A is fixed as the material will origin from only 3 different composition (A1,A2,A3), B will also be fixed as I will only investigate three thicknesses of each material and also the machine will be fixed. However...
I want to investigate the effect of material 1 on all levels of thickness and machine before the treatment and after and the same for material 2 and material 3. So it is only the material that change, but the other factors will be inside each level of material and this will be repeated 2 times...
I want to investigate if some of these factors (A,B,C) can optimize the warming process in terms of time and nutritional content of some food when using different material of a container A (material1, material2, material3), different thickness of container B (thickness1, thickness2) and...
I am trying to figure out the best possible way to design an experiment I am interested in. I want to investigate the effect of three factors (A,B,C) and A has 3-levels, B has 2-level and C has 2-level and we will have 2 runs. I want to investigate these factors before a treatment...
The heating period depends on the amount of volume in each bottle. We had 8 bottles with different sizes and volumes of fluid :)
Temperature before <-- x(32, 36, 41, 42, 37, 37, 38, 37)
Temperature after <-- x(32, 33, 35, 41, 38, 33, 37, 35)
Thank you very much!
but why can I not use paired t-test? I know that due to the small sample size it is difficult to assume whether the data is normal or non-normal distributed. So of course based on this, we can do a non-paramatic test, but is this the case every time we have a small sample size?
I have recorded the temperature of a fluid in a container before and after heating, and want to evaluate the significance by looking at the mean differences of the temperature before and after using SAS jmp. I used 8 different samples and from them I recorded the temperature before and...