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Overall it is pretty good, however, it is blurry when I print my page and I could not read it clearly. Can someone send me information on what I can do to make this better. Send answer to hickshayes@gmail.com. Thank you.
2015-04-14
Minimal experience. Does take the time out of huge forms to fill out - even for my kids' school. $20 a month is a lot for the convenience. I will likely cancel after my 1 month.
2017-09-22
PDF Filler is very user friendly compared to other available form typer software. After, downloading, I immediately began to fill in a job application and was able to finish expediently. Excellent tool!!!
2019-07-12
The price should be mentioned up front. You have to pay at the end because the document is important. I'm sure that is intentional. Its a good program so far. I will let you know the final outcome.
2024-10-28
its k
Does what it needs to do, helps with modifying PDF files, just the whole uploading and downloading the file is kinda annoying and feels like it has a bit to many extra steps.
2022-10-10
Being a small business
Being a small business, it was so delightful to be able to find and fill 1099s for my employees and not have to pay money up front. Thank you pdfFiller!
2022-02-01
User Friendly
Tried adobe, wondershare, and word. Absolutely useless for my purposes or maybe just not user friendly. Very pleased with PDFfiller.
2021-06-30
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PDF.Filler is definitely a MUST in todays world especially with more and more companies working from home, I don't see how anyone could live without this. It makes forms and fillable documents, signature request documents, so very convenient, easy. It's super user friendly as well, I love it. Also the staff super helpful. Simon and Rachel were super great and on it, they both got right back to me within seconds and assisted me with knowledgeable kind and quick service and I appreciate that a lot as well in a company. Thanks again guys and PDF.Filler you Rock!
2020-08-03
Great Tool & Responsive Customer Support
I've been using pdfFiller for several years now, and find it easy to use to make quick changes to documents. It has improved over the time i've used it, as originally the font didn't always match and some sections couldn't be moved or deleted, but it now seems to have these features.
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The reason i've not given it 5 stars is because last year i had to edit a 60+ page instruction manual, and spent many hours over a couple of weeks trying to get it to work, but it kept crashing and not loading all the pages, which was frustrating and wasted a lot of time. In the end i gave up and redesigned the manual using another platform.
Overall, great for simple editing and the basic package is good value for a small business.
2025-02-05
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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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