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Easy to use, but seems like a lot of steps to go through to get to the documents and to save them to my computer. I have to save it to my computer to print it because printing from the program doesn't get it all printed on the 8.5x11" paper so leaves information off.
2015-08-31
Great Site to find any form you may need! As a Restaurant and Bar owner, it's really convenient when you need a specific form quick, they have everything I have ever looked for! Quick and easy! 5 Stars and 2 thumbs up!!!
2015-10-13
The experience feels as if PDF Filler was really made with the end-user in mind. Everything I needed to produce a professional document made simple. Thank you.
2015-12-17
Definitely works. Not sure if there is a way to make figures line up just a little better or have calculated fields, but definitely better than just using adobe acrobat
2018-10-26
There should not be an option for…
There should not be an option for alteration on the PDF document. For example, when I tried to type my name, I made a mistake and I back space the mistake but I ended up deleting the line on the original PDF document. A program like this should not give me the option to do that. Other than that, I felt like PDF Filer got the job done for me.
2019-11-08
I was able to edit the pdf…
I was able to edit the pdf appropriately. When I converted to a word document, the places I had checkmarks in the pdf did not align properly in the word document, but that's really the only issue I had.
2024-11-22
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2022-05-05
Easy to use
Easy to useAllows the user to do things like make forms fillable very quickly. The size of the fields I added were slightly bigger than I would like, but this was not a major problem. Otherwise, I think it's intuitive and pretty easy. My needs are fairly simple, though - just making a workbook fill-able by students working online.
2021-09-22
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2020-11-22
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Why do we do log transformation?
The log transformation can be used to make highly skewed distributions less skewed. This can be valuable both for making patterns in the data more interpretable and for helping to meet the assumptions of inferential statistics. Figure 1 shows an example of how a log transformation can make patterns more visible.
Why do we transform data?
Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpretability or appearance of graphs. Nearly always, the function that is used to transform the data is invertible, and generally is continuous.
What happens if log transformation does not normalize data?
1 Answer. Log transformation leads to a normal distribution only for log-normal distributions. Not all distributions are log-normal, meaning they will not become normal after the log transformation.
Why we use log linear model?
If you use natural log values for your dependent variable (Y) and keep your independent variables (X) in their original scale, the econometric specification is called a log-linear model. These models are typically used when you think the variables may have an exponential growth relationship.
How do you convert skewed data in R?
square-root for moderate skew: sort(x) for positively skewed data, log for greater skew: log10(x) for positively skewed data, inverse for severe skew: 1/x for positively skewed data. Linearity and heteroscedasticity:
How do I standardize data in R?
To standardize your data, i.e., data with a mean of 0 and a standard deviation of 1, you can use the scale function from the base package which is a generic function whose default method centers and/or scales the columns of a numeric matrix.
What does the log function do in R?
R log Function. Log() function computes natural logarithms (Ln) for a number or vector. Log10 computes common logarithms (Lg). Log2 computes binary logarithms (Log2).
What is log transformation in dip?
Log transformation The value 1 is added to each of the pixel value of the input image because if there is a pixel intensity of 0 in the image, then log (0) is equal to infinity. During log transformation, the dark pixels in an image are expanded as compare to the higher pixel values.
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