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The rgb colors are referred to red green and blue. This combination helps us to create many different colors. In R, we can use rgb function to create a plot using with different colors along with the image function. If we want to have a plot with rgb colors without any axes title or axes labels then the appropriate arguments should be used inside the image function as shown in the below example.ExampleConsider the below data frame:Live Demo> set.seed(9991) > x1 x2 x3 df dfOutput x1 x2 ... Read More
Suppose, we have two different array of objects that contains information about the questions answered by some people −const arr1=[ { PersonalID: '11', qusetionNumber: '1', value: 'Something' }, { PersonalID: '12', qusetionNumber: '2', value: 'whatever' }, { PersonalID: '13', qusetionNumber: '3', value: 'anything' }, { PersonalID: '14', qusetionNumber: '4', value: 'null' } ]; const arr2=[ { qusetionNumber: '2', chID: '111', cValue: 'red' }, { qusetionNumber: '2', chID: '112', cValue: 'green'}, { qusetionNumber: '2', chID: '113', cValue: 'blue' }, {qusetionNumber: '3', choiceID: '114', cValue: 'yellow'}, {qusetionNumber: '4', choiceID: '115', cValue: 'red'} ];We ... Read More
To create a random vector that sums to 1, we can use uniform distribution. The main thing that needs to be done cautiously is we should include 0 in the vector with randomly generating uniform distribution values. Check out the below examples to understand how it can be done.Example1Live Demo> x1 x1Output[1] 0.45490995 0.23826247 -0.07338489 -0.33361362 0.26125094 -0.45243689 [7] 0.05967125 0.43007076 0.04069027 0.37457976Example> sum(x1)Output[1] 1Example2Live Demo> x2 x2Output[1] 1.84330339 -0.11622911 -0.15001654 0.07803346 -0.17353612 0.23651847 [7] -0.21121933 -0.30938763 0.44503222 -0.64249881Example> sum(x2)Output[1] 1Example3Live Demo> x3 x3Output[1] 2.63249755 1.17230387 -0.28068787 0.58040911 -1.48530836 -0.04894802 [7] 0.66718009 0.13504265 -0.18253891 -0.49757615 1.63580429 -2.31002917 [13] 2.66256899 -2.40636756 ... Read More
We sometimes want to highlight the main title of a plot and one of the ways to do it is changing the font of the title to a unique or using a mixed font for the title. If we want to used mixed font then we need to use the appropriate font style for the title inside as shown in the below examples.Example1> plot(rpois(10,5),main=substitute(paste(italic("Point Chart"),": Poisson Distribution")))Output:Example2> plot(rpois(10,2),main=substitute(paste(bold("Point Chart"),": Poisson Distribution")))Output:
We are required to write a JavaScript function that takes in a multidimensional array of arrays of literal values. Our function should return the intersecting array of all the subarrays present in the input array.ExampleThe code for this will be −const arr = [ ["garden","canons","philips","universal"], ["universal","ola","uber","bangalore"] ]; const findMultiIntersection = (arr = []) => { const res = []; arr.forEach(el => { const thisObj = this; el.forEach(element => { if(!thisObj[element]){ thisObj[element] = true; } else{ res.push(element) }; }); }, {}); return res; }; console.log(findMultiIntersection(arr));OutputAnd the output in the console will be −[ 'universal' ]
The range function in R provides the minimum and maximum values instead of the difference between the two. Hence, we can find the minimum and maximum by using range function then diff function can be used to find the actual range. For example, if we have a vector x then the range can be found by using diff(range(x)).ExampleLive Demo> x1 x1Output[1] 4 2 3 0 2 3 1 3 4 2Example> diff(range(x1))Output[1] 4 ExampleLive Demo> x2 x2Output[1] 4 5 3 10 2 4 2 4 8 7 3 1 5 6 7 3 7 3 4 5 3 7 ... Read More
Suppose we have two arrays of literals like these −const arr1= ['a', 'b', 'c']; const arr2= ['d', 'e', 'f'];We are required to write a JavaScript function that takes in two such arrays and build all possible combinations from the arrays.So, for these two arrays, the output should look like −const output = [ad, ae, af, bd, be, bf, cd, ce, cf];ExampleThe code for this will be −const arr1= ['a', 'b', 'c']; const arr2= ['d', 'e', 'f']; const combineArrays = (...arr) => { const res = []; const combinePart = (part, index) => { arr[index].forEach(el => ... Read More
Suppose, we have an array that contains dates in MM-YYYY format like this −const arr = ["1-2016", "7-2015", "7-2016", "3-2016", "8-2016", "2-2016", "6-2016", "8-2015", "5-2016", "4-2016", "9-2015", "10-2015", "11-2015", "12-2015"];We are required to write a JavaScript function that takes in one such array and sorts it such that the dates in the array are arranged in oldest to newest order.ExampleThe code for this will be −const arr = ["1-2016", "7-2015", "7-2016", "3-2016", "8-2016", "2-2016", "6-2016", "8-2015", "5-2016", "4-2016", "9-2015", "10-2015", "11-2015", "12-2015"]; const padToString = (num) => { return String("0" + num).slice(-2); }; const sortByDate = (first, second) => ... Read More
The range function in R provides the minimum and maximum values instead of the difference between the two. Hence, we can find the minimum and maximum by using range function but for a data frame we cannot use it directly. Check out the below examples to understand how it works.Example1Live Demo> set.seed(974) > x1 x2 x3 df1 df1Output x1 x2 x3 1 0 6 10 2 0 7 10 3 3 3 11 4 2 7 9 5 3 2 5 6 3 4 7 7 2 7 7 8 2 8 5 9 0 4 9 10 2 2 ... Read More
We are required to write a JavaScript function that takes in an array of literals and finds the most frequent number in the array and how many times it is repeated.ExampleThe code for this will be −const arr = ['13', '4', '1', '1', '4', '2', '3', '4', '4', '1', '2', '4', '9', '3']; const findFrequency = (arr = []) => { const count = {}; const max = arr.reduce((acc, val, ind) => { count[val] = (count[val] || 0) + 1; if (!ind || count[val] > count[acc[0]]) { return ... Read More