clean_reduntant_rows: Removes Redundant Rows in a data frame assuming statefulness
In systeminsights/mtconnectR: Read Data from Delimited 'MTConnect' Data Files and Perform some Analysis
Description
Usage
Arguments
Examples
Description
Removes Redundant Rows in a data frame assuming statefulness
Usage
1
clean_reduntant_rows(df, clean_colname = "value", echo = F)
Arguments
df
Data.frame in timestamp, value1, value2,...
clean_colname
Name of the column to clean as basis
echo
Whether to return messages or not
Examples
1
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5
test_interval =
data.frame(timestamp = as.POSIXct(c(0.5, 1, 1.008, 1.011), origin = "1970-01-01"),
x = c("a", "b", "b", "b"),
y = c("e", "e", "e", "f"))
clean_reduntant_rows(test_interval, "x")
systeminsights/mtconnectR documentation built on July 3, 2019, 1:37 p.m.
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Description Usage Arguments Examples
Description
Removes Redundant Rows in a data frame assuming statefulness
Usage
1 | clean_reduntant_rows(df, clean_colname = "value", echo = F)
|
Arguments
df |
Data.frame in timestamp, value1, value2,... |
clean_colname |
Name of the column to clean as basis |
echo |
Whether to return messages or not |
Examples
1 2 3 4 5 | test_interval =
data.frame(timestamp = as.POSIXct(c(0.5, 1, 1.008, 1.011), origin = "1970-01-01"),
x = c("a", "b", "b", "b"),
y = c("e", "e", "e", "f"))
clean_reduntant_rows(test_interval, "x")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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