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I had a problem with a pdf file freezing up on deadline and not being able to copy it when I was on deadline. I have to say, though, your online customer service was extremely helpful in solving my problem.
2018-03-30
I had some trouble learning to use it and directions aren't consistent. Your Help area tends to be more sales pitch on what can be done in a field with no directions. I'm very grateful for availability of the service though I'll drop it once I have my house sold in a few months
2019-02-05
What do you like best?
Cloud based so I can access anywhere. Also, I like that I can sign on my mobile device.
What do you dislike?
Would prefer that it not open docs when I load them so that I can upload multiple docs without having to go back to "my documents" so often.
What problems are you solving with the product? What benefits have you realized?
Easy to edit documents quickly
Cloud based so I can access anywhere. Also, I like that I can sign on my mobile device.
What do you dislike?
Would prefer that it not open docs when I load them so that I can upload multiple docs without having to go back to "my documents" so often.
What problems are you solving with the product? What benefits have you realized?
Easy to edit documents quickly
2018-01-02
This is a very handy tool
This is a very handy tool, the only problem is the price, you could give a discount for students or something, otherwise a very lifesaving thing.
2024-06-14
Kara helped me solve a mystery…
Kara helped me to figure out a tricky issue that had to do with 'filling' a pdf. Kara figured out that it was a problem with my Chrome browser, so we switched browsers and it worked. Thanks.
2022-05-09
I enjoy the accessibility to a large variety of legal forms without preparing them, but the process is not that easy. For a novice user, it is cumbersome and complicated. There should be a tutorial on how to maneuver the program and all of its features seamlessly.
2021-07-22
Had a great experience with pdf filler
Had a great experience with pdf filler. Been using it for 3 months without any issues. Will use it again in the future for sure. Recommend
2020-10-20
I've been using the trial version of…
I've been using the trial version of the pdfFiller and am very impressed and happy with the program. Am suggesting that we sign up. The program is very easy to use; very pleased with it.
2020-09-25
I used the trial to fill out an application, but had no reason to subscribe further. The software is easy to use and very useful. I attempted to cancel auto-renewal but i got an email saying I was charged for a year subscription. After contacting customer service, the charge was cancelled within 5 minutes. I was impressed with how quickly and thoroughly they responded to my issues!
2020-05-20
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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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