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YUMI3058PortableYourUniversalMultibootInstallerrar amaalbi



 


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The all-purpose, multi-bootable installer that allows you to install Linux on several different types of devices, including your personal computer (PC), Mac, or tablet.The all-purpose, multi-bootable installer that allows you to install Linux on several different types of devices, including your personal computer (PC), Mac, or tablet. A: Yes, you can use the "raspbian image" on an MSP430, and the installer will see it and prompt you to install the MSP430 Bootloaders. Then, once installed, you can edit the startup code for "raspi-config" to replace the boot code with your own, and then you can proceed to the next stage and configure your wireless chip/modem/camera, etc. It's really easy to set up and you can get a very powerful microcontroller for less than $15. Q: How to delete the rows that contain NULL from a data frame? I have a data frame in R. How can I remove all the rows that have a NULL value? Thank you. A: You can use which(.,!is.na(.)) to find the indexes. df[!which(!is.na(df)),] The condition!is.na(df) is to avoid returning the column names which are NULL. If you want to return the row, you can use match, which uses row-column index to select the rows. df[match(df,row(df)),] A: When using data frames you often have a need to remove all rows that contain some of the values. Rows are indexed by row numbers. Usually the index starts at 1 and when using data frames we use a logical vector to subset data. This is a data frame: > df = data.frame(a = c(1,3,4,5,6,NA), b = c(NA,1,NA,NA,2,NA)) a b 1 1 NA 2 3 1 3 4 NA 4 5 NA 5 6 2 6 NA NA An example of deleting the rows that contain the value NA in a column can be done with: > df[!apply(df == NA,1,any),] a b 1 1 1 3 4 2 4 5

 

 

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YUMI3058PortableYourUniversalMultibootInstallerrar amaalbi

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