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I did not like the way my card was charged the $120 initial annual fee. I only wanted to pay by month. That was misleading and I did not appreciate it. If your going to offer the monthly plan, offer it, make the wording more clear. don't try and trick people into the yearly plan and make them go through customer service to get the refund. The reason I give four stars is because (1) the customer service rep was so helpful in getting me my refund back and (2) you have an awesome product. It is really working well for me.
2017-12-27
Have been utilizing PDF Filler on my last 3 temp assignments and now purchased a 1 year subscription
Have been utilizing PDF Filler on my last 3 temp assignments and now purchased a 1 year subscription and the benefits are awesome except the price for the subscription is too high for someone that only uses this software weekly or biweekly!
being able to type into PDFs, upload easily, fax directly from my computer and send to sign feature. Have been utilizing PDF Filler on my last 3 temp assignments and now purchased a 1 year subscription. I also like the black out feature and the way the software notifies you when someone opens your emailed over or faxed documents.
The Price is way too much since i dont use it everyday like real software. Also, i bought a subscription and to use the advance features i have to pay more which is ridiculous since i already paid.
2017-11-14
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I would say what is most helpful is being able to edit all PDF, and it is simple and user-friendly. Works quickly and is very cheap. I would definitely continue to use it.
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2023-01-09
This app is great
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2022-09-04
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2022-02-02
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2021-10-28
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2021-09-20
Useful and handy website
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2021-01-12
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2020-08-18
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Why is log percentage change?
Trend measured in natural-log units percentage growth: Because changes in the natural logarithm are (almost) equal to percentage changes in the original series, it follows that the slope of a trend line fitted to logged data is equal to the average percentage growth in the original series.
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).
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