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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 01 Nov 2018 04:15:09 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2018/Nov/01/t1541042426v0aibfaejm0yd54.htm/, Retrieved Sat, 04 May 2024 04:27:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=315610, Retrieved Sat, 04 May 2024 04:27:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2018-11-01 03:15:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
13
13
15
16
16
17
17
18
18
19
20
20
20
20
21
22
22
22
23
24
24
26
26
27
27
27
28
29
29
29
31
35
36
40
45
46
46
48
68

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315610&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=315610&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315610&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,15[12.530.0750.0750.015
[15,20[17.580.20.2750.04
[20,25[22.5110.2750.550.055
[25,30[27.590.2250.7750.045
[30,35[32.510.0250.80.005
[35,40[37.520.050.850.01
[40,45[42.510.0250.8750.005
[45,50[47.540.10.9750.02
[50,55[52.5000.9750
[55,60[57.5000.9750
[60,65[62.5000.9750
[65,70]67.510.02510.005

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[10,15[ & 12.5 & 3 & 0.075 & 0.075 & 0.015 \tabularnewline
[15,20[ & 17.5 & 8 & 0.2 & 0.275 & 0.04 \tabularnewline
[20,25[ & 22.5 & 11 & 0.275 & 0.55 & 0.055 \tabularnewline
[25,30[ & 27.5 & 9 & 0.225 & 0.775 & 0.045 \tabularnewline
[30,35[ & 32.5 & 1 & 0.025 & 0.8 & 0.005 \tabularnewline
[35,40[ & 37.5 & 2 & 0.05 & 0.85 & 0.01 \tabularnewline
[40,45[ & 42.5 & 1 & 0.025 & 0.875 & 0.005 \tabularnewline
[45,50[ & 47.5 & 4 & 0.1 & 0.975 & 0.02 \tabularnewline
[50,55[ & 52.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[55,60[ & 57.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[60,65[ & 62.5 & 0 & 0 & 0.975 & 0 \tabularnewline
[65,70] & 67.5 & 1 & 0.025 & 1 & 0.005 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=315610&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]3[/C][C]0.075[/C][C]0.075[/C][C]0.015[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]8[/C][C]0.2[/C][C]0.275[/C][C]0.04[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]11[/C][C]0.275[/C][C]0.55[/C][C]0.055[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]9[/C][C]0.225[/C][C]0.775[/C][C]0.045[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]1[/C][C]0.025[/C][C]0.8[/C][C]0.005[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]2[/C][C]0.05[/C][C]0.85[/C][C]0.01[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]1[/C][C]0.025[/C][C]0.875[/C][C]0.005[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]4[/C][C]0.1[/C][C]0.975[/C][C]0.02[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]0[/C][C]0[/C][C]0.975[/C][C]0[/C][/ROW]
[ROW][C][65,70][/C][C]67.5[/C][C]1[/C][C]0.025[/C][C]1[/C][C]0.005[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=315610&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=315610&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[10,15[12.530.0750.0750.015
[15,20[17.580.20.2750.04
[20,25[22.5110.2750.550.055
[25,30[27.590.2250.7750.045
[30,35[32.510.0250.80.005
[35,40[37.520.050.850.01
[40,45[42.510.0250.8750.005
[45,50[47.540.10.9750.02
[50,55[52.5000.9750
[55,60[57.5000.9750
[60,65[62.5000.9750
[65,70]67.510.02510.005


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10 ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 10 ; par2 = blue ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}