xsampa | X-SAMPA to IPA converter | iOS library
kandi X-RAY | xsampa Summary
kandi X-RAY | xsampa Summary
Xsampa.js converts X-SAMPA text into equivalent Unicode IPA symbols. It has no dependencies and should work in any browser with JavaScript enabled. It is designed to work locally and does not require access to a command-line or an internet connection. It also has a handy API allowing you to get arbitrary IPA text by linking directly to an X-SAMPA string in the URL. The main purpose of xsampa.js is to allow easy input of IPA without the need to install any special software, input methods, or command-line tools, and in circumstances where it may not be possible to get online. It also makes it easy to input IPA on mobile devices like phones where this would otherwise be difficult without special software.
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QUESTION
I wish to extract all columns for rows 4, 11 and so on. If you look at my posted data, my wish is to extract row values that are present immediately before an 'A' in column 'xsampa'. For example, all the columns for row 4 (that occur before row 5 that contains an 'A' in column 'xsampa'). I can manually extract them but anything better will definitely save me some labour.
Many thanks if you help me out.
...ANSWER
Answered 2021-Feb-21 at 19:10As @Jon Spring replied in the comments, the answer to this question is to use dplyr:: lead() function instead of lag(). This way, all the rows in the column 'xsampa' that contained the value 'A' will be filtered and produce the desired output.
The lag() function will simply produce rows one behind the input.
ANSWER:
QUESTION
I am trying to perform an LMER test on a dataset (original data attached), the number of rows for all columns is the same (153). However, it gives me an error when I try to fit the formula
...Error: number of levels of each grouping factor must be < number of observations (problems: Filename)
ANSWER
Answered 2020-Oct-25 at 11:11Assuming you want the speaker to be a random effect, and further assuming that the filenames are actually labelled according to the speaker's initials and the spoken phoneme, then you need to use the initials only in the first column for your random effect. Otherwise you have only a single observation at each level of your random effect, which doesn't make much sense.
Therefore if you do:
QUESTION
A sample picture attached The sample dataset file I have a dataset (please see the attached file), in which I wish to sum the numeric column 'tdiff' based on a specific criteria, e.g. row (1 + 2), row (3 + 4) but not row (11,12,13,14). I have tried these but no luck,
...ANSWER
Answered 2020-Oct-17 at 03:28You can create a new group whenever 'p'
occurs so that first 2 rows form one group, next 2 another group and row 11:14
as it is. For each group we can sum
the sum_tdiff
value. For other columns you can decide which values you want to keep. For example, below I keep the first
values for column Filename
and Place
.
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