Could you explain what the R code is doing below? # read in each table read_counts <- lapply(list_of_files, read.table, sep="\t", header = FALSE, skip =2) read_counts <- lapply(read_counts, function(x) x[, c(1,4)]) read_counts <- lapply(read_counts, function(x) x[complete.cases(x),]) # for each dataframe in read_counts transpose and then read_counts <- lapply(read_counts, function(x) t(x[,2]))

Could you explain what the R code is doing below? # read in each table read_counts <- lapply(list_of_files, read.table, sep="\t", header = FALSE, skip =2) read_counts <- lapply(read_counts, function(x) x[, c(1,4)]) read_counts <- lapply(read_counts, function(x) x[complete.cases(x),]) # for each dataframe in read_counts transpose and then read_counts <- lapply(read_counts, function(x) t(x[,2]))

Systems Architecture

7th Edition

ISBN:9781305080195

Author:Stephen D. Burd

Publisher:Stephen D. Burd

Chapter3: Data Representation

Section: Chapter Questions

Problem 12VE

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3. lookup_friends_heights This function takes a friends database (a list of dictionaries, like the previous functions) and a list of friends names, and it returns a list of heights for the specified friends. If a given friend's name is not present in the friends database, we put a None in the corresponding slot. We assume that there will be at most one friend with a given name in the list. You may want to use nested for-loops for this function. Sample calls should look like this. >>> lookup_friends_heights([{"name":"todd","height":170},{"name": "sarah","height":165},{"name":"dweezil","height":175}], ["dweezil", "sarah"]) [175, 165] >>> lookup_friends_heights([{"name": "todd","height":170},{"name": "sarah","height":165},{"name": "dweezil", "height":175}], ["sarah", "elíza", "dweezil"]) [165, None, 175]
3. lookup_friends_heights This function takes a friends database (a list of dictionaries, like the previous functions) and a list of friends names, and it returns a list of heights for the specified friends. If a given friend's name is not present in the friends database, we put a None in the corresponding slot. We assume that there will be at most one friend with a given name in the list. You may want to use nested for-loops for this function. Sample calls should look like this. >>» lookup_friends_heights([{"name":"todd", "height":170},{"name":"sarah","height":165}, {"name":"dweezil","height":175}], ["dweezil", "sarah"]) [175, 165] >>> lookup_friends_heightsC[{"name":"todd","height":170},{"name":"sarah","height":165}, {"name":"dweezil","height":175}], ["sarah", "eliza", "dweezil"]) [165, None, 175] 4. class definition for Friend For the next version of the friends database (coming soon!), we want to use classes rather than dictionaries. Define a Friend class , where each Friend object…
In C language please. You are to read 10 numbers from a data file into an array named List. Create another 10 element array named Reverse that is to contain the same items as List but in reverse order. For example, the first element in List will be placed in the last position of Reverse, the second element in List will be placed in the second-to-last position in Reverse, etc. After Reverse has been created, output the contents of both arrays.
In C program language, You are to read 10 numbers from a data file into an array named List. Create another 10 element array named Reverse that is to contain the same items as List but in reverse order. For example, the first element in List will be placed in the last position of Reverse, the second element in List will be placed in the second-to-last position in Reverse, etc. After Reverse has been created, output the contents of both arrays.
c++ Use the "natural split" algorithm on the file split.txt and answer the following question: How many elements are in the first list? display first list and second list split file: 200 494 774 644 345 521 61 27 28 584 569 66 857 210 2 211 675 548 596 188 647 671 517 408 475 615 113 731 522 850 17 640 940 556 517 602 935 76 578 880 428 168 394 381 497 247 368 137 138 619 973 895 106 838 45 921 800 681 660 490 427 937 917 786 959 152 604 837 749 684 963 926 963 988 492 385 458 788 7 62 46 932 996 787 634 34 616 71 128 686 578 923 532 933 545 100 224 895 595 342 933 934 797 120 565 495 884 237 648 843 599 157 843 192 279 301 649 382 881 667 178 126 746 44 601 22 52 769 708 991 83 447 786 525 168 328 922 153 367 22 689 834 774 93 110 547 597 644 726 237 20 370 573 391 225 750 897 956 839 951 455 8 509 746 338 576 276 277 341 274 891 723 53 966 271 50 990
Tails Function Purpose: Produce a new column-based ( e.g. dict[str, list[str]] ) table with only the first N (a parameter) rows of data for each column. * Function name: Tails Parameters: 1. dict[str, list[str]] - a column-based table of data that_will not be mutated_ 2. int - The number of "rows" to include in the resulting list * Return type: dict[str, list[str]] Implementation strategy: 1. Establish an empty dictionary that will serve as the returned dictionary this function is building up. 2. Loop through each of the columns in the first row of the table given as a parameter. 1. Inside of the loop, establish an empty list to store each of the first N values in the column. 2. Loop through the first N items of the table's column, 1. Appending each item to the previously list established in step 2.1. 3. Assign the produced list of column values to the dictionary established in step 1. 3. Return the dictionary.
Problem Description: Write a telephone lookup program. Read a data set of 1,000 names and telephone numbers from a file that contains the numbers in random order. Handle lookups by name and also reverse lookups by phone number. Use a binary search for both lookups.
python: def traditions_dict(adict): """ Question 6 Given a dictionary that maps a person to a list of their favorite traditions, return a dictionary with the value being the list sorted by the last letter of each tradition. If two traditions have the same last letter, sort by the first letter. HINT: This will require the use of lambda functions Args: adict (dict) Returns: dict >>> traditions_dict({"Jacob": ["The Horse", "Stealing the t", "Midnight Bud"], "Athena": ["Mini Five-Hundred", "Freshman Cake Race", "Buzzweiser Song"], "Liv": ["Freshman Cake Race", "George P. Burdell", "Buzzweiser Song"]}) {'Jacob': ['Midnight Bud', 'The Horse', 'Stealing the t'], 'Athena': ['Mini Five-Hundred', 'Freshman Cake Race', 'Buzzweiser Song'], 'Liv': ['Freshman Cake Race', 'Buzzweiser Song', 'George P. Burdell']} >>> traditions_dict({"Madison": ["The Horse", "Midnight Bud", "Buzzweiser…
C++ Quadratic Probing: You have a file called athletes.txt Jamie, basketball Justine, soccer Ned, badminton Shelley, hopscotch etc... The file contains 9 athletes. The user will specify the size of the hash table. Write a function that keeps track of the total number of collisions and searches into the hash table. Each index is assigned hash_index = i % table_size where "i" is an int in a for loop up to table_size If the table is full then: int t = (hash_index + i* i) % table_size; Display the number of collisions and searches.
Use python Pandas: DataFrames : Perform the following tasks with pandas DataFrames: a. Create DataFrame names temperatures from a dictionary of six temperature reading each for “A”, “B”, “C”, “D”, “E”, and “F”. b. Recreate the DataFrame temperatures in Part (a) with custom indices using the index keyword argument and a list containing ‘M’ ‘Afn’, and ‘Eve’. c. Select from temperatures the column of temperature reading for C d. Select from temperatures the column of temperature reading for A, and B e. Select from temperatures the row for ‘M’ and ‘Afn’ temperature reading
Reuse Files Add-ins Media Links Comments Header & Footer void show byte(byte_pointer start, int len) { Q2 int i; for(i=0; į
create a function in python parameters: 1. dict[str, list[str]] 2. list[str] return type: dict[str, list[str]] must do like this: 1. establish an empty dictionary that will serve as the dictionary returned at the end 2. loop thorugh each of the columns in the second parameter of the function 2a. asssign to the column key of the result dictionary the list of values stored in the input dictionary at the same column 3. return the dictionary produced do not import other libraries such as pandas, .select, .head, .iloc or anything this function is being used to work in a dataframe